Logical operations on images

OpenCV provides bitwise logical operation functions on images. We will take a look at functions that provide bitwise logical AND, OR, XOR (exclusive OR), and NOT (inversion) functionalities. These functions can be better demonstrated visually with grayscale images. I am going to use barcode images in horizontal and vertical orientations for demonstration. Look at the following code:

import cv2
import matplotlib.pyplot as plt

img1 = cv2.imread('Barcode_Hor.png',0)
img2 = cv2.imread('Barcode_Ver.png',0)
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 xrange(6):
    plt.subplot(2,3,i+1)
    plt.imshow(images[i],cmap='gray')
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])
plt.show()

We first read images in the grayscale mode and calculate the NOT...