Python utility to explore OpenCV parameters for drawing contours and selecting objects
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Updated
May 7, 2023 - Python
Python utility to explore OpenCV parameters for drawing contours and selecting objects
Image Processing with openCV4 & Python
Histogram equalization in Rust
MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić
Normalização de imagens e treinamento de uma SVM para classificar lesões cerebrais
Image processing techniques for contrast enhancement
OCR from scratch using Chars74 Dataset: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ applied to the case of Spanish car license plates or any other with format NNNNAAA. The hit rate is lower than that achieved by pytesseract: in a test with 21 images, 12 hits are reached while with pytesseract the hits are 17.
A fast python implementation of CLAHE (Contrast Limited Adaptive Histogram Equalisation)
A desktop application to improve image taken underwater by color balancing, contrast adjustment and noise reduction. It has also other tool like manual adjustment of contrast and brightness, hue and saturation, resizing, rotating etc.
Basic Image Processing in C, Matlab and Python
A deep learning classification program to detect the CT-scan results using python
Detect text on a processed image of a RC using AWS Rekognition
Demo of Viewer of mammograms on dicom format.
A deep learning classification program to detect the CT-scan results using python
Through the use of Contrast Limited Adaptive Histogram Equalization (CLAHE) filters, completed with otsu filters, a direct reading of car license plates with success rates above 70% and an acceptable time is achieved
This project is a Flask web application that integrates with TensorFlow a CNN model to be able to give predictions of two classes: "Normal" and "Tuberculosis". The user can upload their photo to be able to process it and also have a contrast enhancement filter applied with CLAHE.
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