edges_canny.py

import cv2
import matplotlib.pyplot as plt
# reading the smooth image and converting it into RGB color space
image_smooth = cv2.cvtColor(cv2.imread('smooth.jpg'),cv2.COLOR_BGR2RGB)
# calculating edges from the smooth image
edge_smooth= cv2.cvtColor(cv2.Canny(image_smooth, 100, 250),cv2.COLOR_BGR2RGB)
# reading a normal sharp image and converting the color space
image_sharp = cv2.cvtColor(cv2.imread('sharp.jpg'),cv2.COLOR_BGR2RGB)
# claculating the edges from the image
edge_sharp= cv2.cvtColor(cv2.Canny(image_sharp, 100, 250),cv2.COLOR_BGR2RGB)
# putting the titles and the images in a list
titles = ['A Smooth Image', 'Edge from Smooth Image', 'A Sharp Image','Edge from Sharp Image']
imgs = [image_smooth,edge_smooth ,image_sharp,edge_sharp]
# displaying the images
plt.figure(figsize=(60,60))
for i in range(4):
    plt.subplot(2,2,i+1),plt.imshow(imgs[i])
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])

plt.show()