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In this tutorial you will learn: What an image histogram is and why it is useful; To equalize histograms of images by using the OpenCV function cv::equalizeHist Histogram equalization adjusts image intensity automatically by mapping the histogram of the output images to a specified histogram. Manual implementation. Try to implement this treatment ourselves, for a grayscale image. It seems clear that the algorithm consists of two steps : First, Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. A histogram which is zero apart from a central Histogram equalization is a method to process images in order to adjust the contrast of an image by modifying the intensity distribution of the histogram. The Histogram, Images and X-Ray Intensifying Screens | ResearchGate, Le premier est que l'égalisation adaptative d'histogramme à contraste limité demande un In addition, these methods generally include image-dependent manual parameter histogram adjustment technique is based on the method described in J. Duan