Adaptive histogram equalization opencv

adaptive_histogram_equalization.cpp

#include <opencv2/core.hpp>
#include <vector>

int main(int argc, char** argv)
{
    cv::Mat bgr_image = cv::imread("image.png");
    cv::Mat lab_image;
    cv::cvtColor(bgr_image, lab_image, CV_BGR2Lab);

    // Estrazione L channel
    std::vector<cv::Mat> lab_planes(3);
    cv::split(lab_image, lab_planes);

    // CLAHE algorithm per L channel
    cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE();
    clahe->setClipLimit(4);
    cv::Mat dst;
    clahe->apply(lab_planes[0], dst);

    // Merge
    dst.copyTo(lab_planes[0]);
    cv::merge(lab_planes, lab_image);

   // RGB
   cv::Mat image_clahe;
   cv::cvtColor(lab_image, image_clahe, CV_Lab2BGR);

   // out
   cv::imshow("image original", bgr_image);
   cv::imshow("image CLAHE", image_clahe);
   cv::waitKey();
}