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.
# import OpenCV module import cv2 # Read the image img = cv2.imread('C:\\AiHints\\car.jpg') # Convert the image to grayscale gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Apply histogram equalization on the grayscale image hist = cv2.equalizeHist(gray_img) # Display the image cv2.imshow('Final Image', hist) # Wait until a key is pressed cv2.waitKey(0) # Destroy all windows cv2.destroyAllWindows()