import cv2
import numpy as np

# Load the image
img = cv2.imread('Image.jpg')

# Split the image into its RGB channels
b, g, r = cv2.split(img)
# e = np.zeros((100, 100), dtype=np.uint8)
# red_merged = cv2.merge((e, e, r))
# Display the individual channels
cv2.imshow('Red channel', r)
# cv2.imshow('Red channel 2', red_merged)
cv2.imshow('Green channel', g)
cv2.imshow('Blue channel', b)
cv2.waitKey(0)
cv2.destroyAllWindows()

# Note that the individual channels are displayed in grayscale because they represent the intensity values of a single color (red, green, or blue) in the image.