AND operation:
cv2.bitwise_and(image1,image2) function is used to take the AND operation between two images. It has two arguments which denotes to two images whose AND has to be taken.
The return type of this function is an image after performing the operation.
Truth table of AND operation:
| A | B | A&B |
| 0 | 0 | 0 |
| 0 | 1 | 0 |
| 1 | 0 | 0 |
| 1 | 1 | 1 |
Implemented code in Python:
#import openCV library
import cv2
#import numpy
import numpy as np
img1 = cv2.imread('test.jpg',1);
img2 = cv2.rectangle(np.zeros((183,275,3), np.uint8),(0,0),(275,183),(255,0,55),-1);
#bitwise AND operation of two images
bitAND = cv2.bitwise_and(img1,img2);
cv2.imshow('image',bitAND);
#waitKey to wait for 10 sec
cv2.waitKey(10000);
#close all windows
cv2.destroyAllWindows();
Output:
OR operation:
cv2.bitwise_or(image1,image2) function is used to take the OR operation between two images. It has two arguments which denotes to two images whose AND has to be taken.
The return type of this function is an image after performing the operation.
Truth table of AND operation:
| A | B | A|B |
| 0 | 0 | 0 |
| 0 | 1 | 1 |
| 1 | 0 | 1 |
| 1 | 1 | 1 |
Implemented code in Python:
#import openCV library
import cv2
#import numpy
import numpy as np
img1 = cv2.imread('test.jpg',1);
img2 = cv2.rectangle(np.zeros((183,275,3), np.uint8),(0,0),(275,183),(255,0,55),-1);
#bitwise OR operation of two images
bitOR = cv2.bitwise_or(img1,img2);
cv2.imshow('image',bitOR);
#waitKey to wait for 10 sec
cv2.waitKey(10000);
#close all windows
cv2.destroyAllWindows();
Output:
XOR operation:
cv2.bitwise_xor(image1,image2) function is used to take the XOR operation between two images. It has two arguments which denote to two images whose XOR has to be taken.
The return type of this function is an image after performing the operation.
Truth table of AND operation:
| A | B | A^B |
| 0 | 0 | 0 |
| 0 | 1 | 1 |
| 1 | 0 | 1 |
| 1 | 1 | 0 |
Implemented code in Python:
#import openCV library
import cv2
#import numpy
import numpy as np
img1 = cv2.imread('test.jpg',1);
img2 = cv2.rectangle(np.zeros((183,275,3), np.uint8),(0,0),(275,183),(255,0,55),-1);
#bitwise XOR operation of two images
bitXOR = cv2.bitwise_xor(img1,img2);
cv2.imshow('image',bitXOR);
#waitKey to wait for 10 sec
cv2.waitKey(10000);
#close all windows
cv2.destroyAllWindows();
Output:
NOT operation:
cv2.bitwise_not(image) function is used to take the NOT operation of an images. It has only one argument which denotes to image whose NOT has to be taken.
The return type of this function is an image after performing the operation.
Truth table of NOT operation:
| A | A’ |
| 0 | 1 |
| 1 | 0 |
Implemented code in Python:
#import openCV library
import cv2
#import numpy
import numpy as np
img1 = cv2.imread('test.jpg',1);
#bitwise NOT operation of an image
bitNOT = cv2.bitwise_not(img1);
cv2.imshow('image',bitNOT);
#waitKey to wait for 10 sec
cv2.waitKey(10000);
#close all windows
cv2.destroyAllWindows();
Output:
Comparison:
| AND | OR | XOR | NOT |
| | | |
Thank you Rishika Gupta for this article.
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