Subject: Numerical Methods Materials: Finite Difference Method Please build a program using python for detecting the edge of objects in the black and white image. The edge detection uses gradient calculation. [The problem is, I am not allowed to use OpenCV like my code below, I must make my own algorithm. But I don't know how, could you give me an example using two pictures below?] import cv2 //importing opency import numpy as np //importing numpx from matplotlib import pyplot as plt //importing matplot library img = cv2.imread('89.png',0) I/reading the input image edges = cv2.Canny(img, 100,200) // Applying Canny algorithm with arguments // this part is for ploting the image on the screen plt.subplot(121),plt.imshow(img.cmap = 'gray') plt.title('Original Image"), plt.xticks([]), plt.yticks([]) plt.subplot(122),plt.imshowledges.cmap = 'gray') plt.title('Edge Image"), plt.xticks([]), plt.yticks([]) plt.show() Notes: Please give me the code & the results, as well as a detailed explanation of the code and detailed explanations of the result of edge detecting, so I could have understanding of the materials, thank you very much. Picture: I googled this picture below by writing "black and white picture cate" and "black and white fruit still life