Web Reference: What Histogram Equalization does is to stretch out this range. Take a look at the figure below: The green circles indicate the underpopulated intensities. After applying the equalization, we get an histogram like the figure in the center. The resulting image is shown in the picture at right. Aug 14, 2025 · OpenCV makes it easy to apply histogram equalization with the cv2.equalizeHist () function. This function works on grayscale images, so we need to convert a color image to grayscale first. This examples enhances an image with low contrast, using a method called histogram equalization, which “spreads out the most frequent intensity values” in an image [1]. The equalized image has a roughly linear cumulative distribution function.
YouTube Excerpt: In this lecture we
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