VORONOI BASED DOCUMENT COMPLEXITY ANALYSIS.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Set Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import os, sys\n",
    "import errno\n",
    "from tqdm import tqdm\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib notebook\n",
    "\n",
    "in_image = \"00000000.tif\"\n",
    "linesegments_location  = \"./data/linesegments/\"\n",
    "ccs_location           = \"./data/ccs/\"\n",
    "meta_location          = \"./data/metadata/\"\n",
    "\n",
    "image_name, image_extension = os.path.splitext(in_image)\n",
    "\n",
    "in_linesegments_name = \"line\"\n",
    "in_cc_name           = \"cc\"\n",
    "in_meta_name         = \"metadata\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read Metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'IQR': '95',\n",
       " 'Q1': '74',\n",
       " 'Q3': '169',\n",
       " 'angleMode': '0.8',\n",
       " 'fileName': './data/binary/full_2.tiff',\n",
       " 'height': '6094',\n",
       " 'numOfCC': '38007',\n",
       " 'numOfNoiseZone': '154',\n",
       " 'numOfSites': '175436',\n",
       " 'numOfZone': '207',\n",
       " 'sizeMean': '124',\n",
       " 'sizeStd': '184',\n",
       " 'td1': '8',\n",
       " 'td2': '32',\n",
       " 'width': '4680',\n",
       " 'zoneIQR': '14549.0',\n",
       " 'zoneMax': '10202242',\n",
       " 'zoneMean': '137777',\n",
       " 'zoneMedian': '3765',\n",
       " 'zoneMin': '58',\n",
       " 'zoneQ1': '990.5',\n",
       " 'zoneQ3': '15539.5',\n",
       " 'zoneStd': '812332'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "\n",
    "file_metadata = open(os.path.join(meta_location,in_meta_name),\"r\")\n",
    "str_metadata  = file_metadata.read()\n",
    "json_metadata = json.loads(str_metadata)\n",
    "h = int(json_metadata['height'])\n",
    "w = int(json_metadata['width'])\n",
    "json_metadata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generate Binary Voronoi-Edge Mask (BEM)\n",
    "\n",
    "In this process, a binary mask representing Voronoi-edge is generated by following procedure:\n",
    "\n",
    "- 1.Generate a canvas with a size of original image's witdh and height in which every pixel is initialized as 255.\n",
    "\n",
    "  \n",
    "- 2.Read Voronoi-edge information (e.g., [start_x, end_x, start_y, end_y]) and assign a pixel value of 0 to a corresponding location on the canvas.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "13769it [00:00, 242522.39it/s]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"968.6666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# read line segment info\n",
    "file_linesegments = open(os.path.join(linesegments_location,in_linesegments_name),\"r\")\n",
    "\n",
    "# voronoi-ridge mask\n",
    "img_voronoi_mask = 255*np.ones([h,w])\n",
    "for line in tqdm(file_linesegments): \n",
    "    # Parse coordinates\n",
    "    cs,ce,rs,re = (int(x) for x in line.split())\n",
    "    #print(\"({},{}) ({},{})\".format(cs,rs,ce,re))\n",
    "    # Draw line\n",
    "    cv2.line(img_voronoi_mask,(cs,rs),(ce,re),(0,0,0),2)\n",
    "\n",
    "%matplotlib notebook\n",
    "plt.imshow(img_voronoi_mask)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Connected-components from BEM\n",
    "\n",
    "From the generated BEM, we find all connected components using opencv's built-in function. Note here that opencv document does not states the exact time-complexity of this built-in function, and we assume that it should not be worse than O(witdh*height) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 206 region(s) are found.\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"984.6666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.imshow>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Voronoi mask analysis\n",
    "count,label,stat,centroids=cv2.connectedComponentsWithStats((img_voronoi_mask).astype(np.uint8))\n",
    "print(\"Total %d region(s) are found.\" % count)\n",
    "\n",
    "plt.imshow(label)\n",
    "plt.imshow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generate Binary Connected-component Centroid Mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "38007it [00:00, 218749.32it/s]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"954.6666666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# read cc info\n",
    "file_ccs = open(os.path.join(ccs_location,in_cc_name),\"r\")\n",
    "\n",
    "# cc mask\n",
    "area_minus_cc_mask = np.copy(stat[:,4])\n",
    "img_cc_mask = 255*np.ones([h,w])\n",
    "for line in tqdm(file_ccs): \n",
    "    # Parse coordinates\n",
    "    c,r = (int(x) for x in line.split())\n",
    "    img_cc_mask[r,c]=0\n",
    "    #print(\"({},{})\".format(r,c))\n",
    "    area_minus_cc_mask[label[r,c]]-=1\n",
    "\n",
    "    \n",
    "plt.imshow(img_cc_mask)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Combine (bitwise-and) BVM and BCM\n",
    "\n",
    "Note that from this mask, we can get an idea the number of connected-components (characters or noises) residing inside of each zone."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"928\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Combine voronoi mask and cc mask\n",
    "\n",
    "img_comb = cv2.bitwise_and(img_voronoi_mask,img_cc_mask)\n",
    "plt.imshow(img_comb)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyze each Zone\n",
    "\n",
    "In this process, each zone is inspected whether it has more than the specified number of connected-components (**CC_THRESHOLD**). If not, it is considered as noise zone."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total 206 zone(s) are found.\n",
      "Total 147 noise zone(s) are found.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Find regions containing single cc\n",
    "CC_THRESHOLD = 5\n",
    "\"\"\"\n",
    "num_of_noise_zone = 0\n",
    "count_comb,label_comb,stat_comb,centroids_comb=cv2.connectedComponentsWithStats((img_comb).astype(np.uint8))\n",
    "if count_comb!=count: # or use assert?\n",
    "    print(\"Unexpected error has occurred.\")\n",
    "else:\n",
    "    for i in range(count):\n",
    "        area_diff = stat[i][4]-stat_comb[i][4]\n",
    "        if(area_diff<=CC_THRESHOLD):\n",
    "            num_of_noise_zone+=1\n",
    "\"\"\"\n",
    "\n",
    "num_of_noise_zone = len(np.argwhere(stat[:,4]-area_minus_cc_mask<=CC_THRESHOLD))\n",
    "\n",
    "print(\"Total %d zone(s) are found.\" % count)\n",
    "print(\"Total %d noise zone(s) are found.\\n\" % num_of_noise_zone)\n",
    "#stat[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Append Metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build JSON\n",
    "json_metadata['numOfZone']      = str(count)\n",
    "json_metadata['numOfNoiseZone'] = str(num_of_noise_zone)\n",
    "\n",
    "zone_area_dist = stat[:,4]\n",
    "\n",
    "zone_min  = np.min(zone_area_dist)\n",
    "zone_max  = np.max(zone_area_dist)\n",
    "zone_mean = int(np.mean(zone_area_dist))\n",
    "zone_median = np.median(zone_area_dist)\n",
    "zone_std  = int(np.std(zone_area_dist))\n",
    "\n",
    "zone_q1  = np.percentile(zone_area_dist, 25)\n",
    "zone_q3  = np.percentile(zone_area_dist, 75)\n",
    "zone_iqr = zone_q3-zone_q1\n",
    "\n",
    "print(\"min:\\t\",zone_min)\n",
    "print(\"max:\\t\",zone_max)\n",
    "print(\"mean:\\t\",zone_mean)\n",
    "print(\"median:\\t\",zone_median)\n",
    "print(\"std:\\t\",zone_std)\n",
    "print(\"Q1:\\t\",zone_q1)\n",
    "print(\"Q3:\\t\",zone_q3)\n",
    "print(\"IQR:\\t\",zone_iqr)\n",
    "\n",
    "print(\"lb:\\t\",q1-1.5*iqr)\n",
    "print(\"rb:\\t\",q3+1.5*iqr)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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