Split Image into channels using OpenCV in Python

In this article, you’ll see how to split an image into its 3 RGB channels using OpenCV in Python. I highly recommend you get the “Computer Vision: Models, Learning, and Inference Book” to learn Computer Vision. Just follow these steps:

Step 1: Install OpenCV

If OpenCV is not installed, then first install it using this code.

pip install opencv-python

Step 2: Import OpenCV

Import the OpenCV library.

import cv2

Step 3: Read the Image

Now read the image from the location.

image = cv2.imread("C:\\AiHints\\opencv.png")

Step 4: Split Image into Channels

In this step, we will split the image using cv2.split() function.

blue, green, red = cv2.split(image)

Step 5: Display the split channels

Now display the result.

cv2.imshow("Original Image", image)
cv2.imshow("Blue Image", blue)
cv2.imshow("Green Image", green)
cv2.imshow("Red Image", red)

cv2.waitKey(0)
cv2.destroyAllWindows()

Complete Code

import cv2
image = cv2.imread("C:\\AiHints\\opencv.png")
blue, green, red = cv2.split(image)

cv2.imshow("Original Image", image)
cv2.imshow("Blue Image", blue)
cv2.imshow("Green Image", green)
cv2.imshow("Red Image", red)

cv2.waitKey(0)
cv2.destroyAllWindows()