/
filterTepi.py
29 lines (23 loc) · 915 Bytes
/
filterTepi.py
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import cv2
import numpy as np
from matplotlib import pyplot as plt
# loading image
#img0 = cv2.imread('sepatu.jpg')
img0 = cv2.imread('sepatu.jpg',)
# converting to gray scale
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY)
# remove noise
img = cv2.GaussianBlur(gray,(3,3),0)
# convolute with proper kernels
laplacian = cv2.Laplacian(img, cv2.CV_64F)
sobelx = cv2.Sobel(img,cv2.CV_64F,1,0,ksize=5)
sobely = cv2.Sobel(img,cv2.CV_64F,0,1,ksize=5)
plt.subplot(2,2,1), plt.imshow(img,cmap = 'gray')
plt.title('Original'), plt.xticks([]), plt.yticks([])
plt.subplot(2,2,2), plt.imshow(laplacian,cmap = 'gray')
plt.title('Laplacian'), plt.xticks([]), plt.yticks([])
plt.subplot(2,2,3), plt.imshow(sobelx, cmap = 'gray')
plt.title('Sobel X'), plt.xticks([]), plt.yticks([])
plt.subplot(2,2,4), plt.imshow(sobely,cmap = 'gray')
plt.title('Sobel Y'), plt.xticks([]), plt.yticks([])
plt.show()