Contrast enhancement

Algorithms:

• HE (histogram equalization)
• CLHE (contrast limited histogram equalization)
• CLAHE (contrast limited adaptive histogram equalization)
• ACE (adaptive contrast enhancement)

Prerequisites

Windows

• Install CMake. We recommend to add CMake to path for easier console using.
• Install opencv 2.4 from sources.
  • Get OpenCV (github) and put in on C:/ (It can be installed somewhere else, but it's recommended to be close to root dir to avoid too long path error). git clone https://github.com/opencv/opencv
  • Checkout on 2.4 branch git checkout 2.4.
  • Make build directory .
  • In build directory create project with cmake or cmake-gui (enable BUILD_EXAMPLES for later test).
  • Open project in Visual Studio.
  • Build Debug and Release versions.
  • Build INSTALL project.
  • Add opencv_dir/build/bin/Release and opencv_dir/build/bin/Debug to PATH variable.
  • Test installation by running examples in opencv/build/install/ dir.

Installing

git clone https://github.com/nejcgalof/detectorORB.git

Build

You can use cmake-gui or write similar like this:

mkdir build
cd build
cmake -G "Visual Studio 14 2015 Win64" -DOpenCV_DIR="C:/opencv/build" ..