Import opencv library.

  Load the image that you want to transform.

  Find the edges using opencv library.

  Get image as matrix using opencv.

  Plot both the images using matplotlib.pyplot.

#import libraries
import cv2
import numpy as np
from matplotlib import pyplot as plt

#Load the image
img = cv2.imread(‘msd1.jpg’,0)

#Canny edge detection
print(“Canny edge detection\n”)
edges = cv2.Canny(img,100,200)
plt.figure(figsize=(13,13))
plt.subplot(121),plt.imshow(img,cmap = ‘gray’)
plt.title(‘Original Image’), plt.xticks([]), plt.yticks([])
plt.subplot(122),plt.imshow(edges,cmap = ‘gray’)
plt.title(‘Edge Image’), plt.xticks([]), plt.yticks([])
plt.show()

#image tranformation
print(“Image transformation”)
rows,cols = img.shape
Matrix = cv2.getRotationMatrix2D((cols/2,rows/2),50,1)
affine = cv2.warpAffine(img,Matrix,(cols,rows))
plt.figure(figsize=(13,13))
plt.subplot(121),plt.imshow(img,cmap = ‘gray’)
plt.title(‘Original Image’), plt.xticks([]), plt.yticks([])
plt.subplot(122),plt.imshow(affine,cmap = ‘gray’)
plt.title(‘Transformed Image’), plt.xticks([]), plt.yticks([])
plt.show()