Bitwise logical operations on images

The OpenCV library has many functions for computing bitwise logical operations on images. We can compute bitwise logical AND, OR, XOR (exclusive OR), and NOT (inversion) operations. The best way to demonstrate how these functions work is to use them with binary (black and white) images:

import cv2
import numpy as np
import matplotlib.pyplot as plt
a = [0, 255, 0]
img1 = np.array([a, a, a], dtype=np.uint8)
img2 = np.transpose(img1)
not_out = cv2.bitwise_not(img1 )
and_out = cv2.bitwise_and(img1, img2)
or_out = cv2.bitwise_or(img1, img2)
xor_out = cv2.bitwise_xor(img1, img2)
titles = ['Image 1', 'Image 2', 'Image 1 NOT', 'AND', 'OR', 'XOR']
images = [img1, img2, not_out, and_out, or_out, xor_out]
for i in range(6):
        plt.subplot(2, 3, i+1)
        plt.imshow(images[i], cmap='gray')
        plt.title(titles[i])
        plt.axis('off')
plt.show()

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