In this OpenCV Tutorial, you’ll learn how to perform histogram equalization in OpenCV Python. Histogram equalization is used in image processing for contrast adjustment. I highly recommend you get the “Computer Vision: Models, Learning, and Inference Book” to learn computer vision. In the following example, I will use this image.
Python
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# import OpenCV moduleimport cv2# Read the imageimg = cv2.imread('C:\\AiHints\\car.jpg')# Convert the image to grayscalegray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)# Apply histogram equalization on the grayscale imagehist = cv2.equalizeHist(gray_img)# Display the imagecv2.imshow('Final Image', hist)# Wait until a key is pressedcv2.waitKey(0)# Destroy all windowscv2.destroyAllWindows()Output:
