To write and execute image processing programs using point processing method

 a. Obtain Negative image Program: 

 import cv2 

 img = cv2.imread("C:/Users/welcome/Desktop/sem6/DIP/Nature.png") 

 cv2.imshow("Original_image", img) 

 img1=255-img 

 cv2.imshow("Negative_image", img1) 

 cv2.waitKey(0) 

 cv2.destroyAllWindows()

b.Obtain Flip image  

Program: 

import cv2 

img = cv2.imread("C:/Users/welcome/Desktop/sem6/DIP/Nature.png") 

horizontal_flip = cv2.flip(img, 1)  

vertical_flip = cv2.flip(img, 0)  

both_flip = cv2.flip(img, -1)  

cv2.imshow("Original_image", img) 

cv2.imshow("horizontal_flip_image", horizontal_flip) 

cv2.imshow("vertical_flip_image", vertical_flip) 

cv2.imshow("both_flip_image", both_flip) 

cv2.waitKey(0)  

cv2.destroyAllWindows()

c. Thresholding  

Program: 

import cv2 

img = cv2.imread("C:/Users/welcome/Desktop/sem6/DIP/Nature.png", 

cv2.IMREAD_GRAYSCALE) 

adaptive_thresh = cv2.adaptiveThreshold( 

    img, 255,                       

    cv2.ADAPTIVE_THRESH_GAUSSIAN_C,   

    cv2.THRESH_BINARY,        

    11, 2                          

) 

cv2.imshow("Original_image", img) 

cv2.imshow("Adaptive Thresholding", adaptive_thresh) 

cv2.waitKey(0) 

cv2.destroyAllWindows()

d.Contrast stretching  

Program: 

import numpy as np 

import cv2 

img = cv2.imread("C:/Users/welcome/Desktop/sem6/DIP/Nature.png") 

min_val = np.min(img) 

max_val = np.max(img) 

stretched = ((img - min_val) * (255.0 / (max_val - 

min_val))).astype(np.uint8) 

 

cv2.imshow("Original_image", img) 

cv2.imshow("contrast_stretched", stretched) 

cv2.waitKey(0) 

cv2.destroyAllWindows()