Computer screens are made up of color combinations (red, green, blue). If you have any color images, you can see the amount of red, green and blue for each colors.

This is all theoretical and all, but is that hard to do? No it's actually easy.

You need an image processing library. Most would say Pillow, Python image library. But OpenCV (cv2) is another good choice.

OpenCV is a computer vision module, so you can do a lot more besides the basic image processing.

Split the color channels:

First load an image (with OpenCV), then split into the red, green and blue color channels.

#!/usr/bin/python3b, g, r = cv2.split(img)

So complete code:

#!/usr/bin/python3import cv2import numpy as npimg = cv2.imread("lena.png", cv2.IMREAD_UNCHANGED)b, g, r = cv2.split(img)cv2.imshow("B", b)cv2.imshow("G", g)cv2.imshow("R", r)cv2.waitKey(0)cv2.destroyAllWindows()

Related links:

• How to install OpenCV for Python
• Learn Python Programming
• Python Exercises
• Computer Vision course & examples