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March 26, 2020 07:51
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import numpy as np | |
import cv2 | |
from matplotlib import pyplot as plt | |
img = cv2.imread("imgs/chapter5/sudoku.jpg", 0); | |
img = cv2.blur(img, (3, 3)); | |
# Otsu's thresholding | |
ret2,img = cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU) | |
kernel_size = 3; | |
kernel = np.ones((kernel_size,kernel_size),np.uint8) | |
closing = cv2.morphologyEx(img, cv2.MORPH_CLOSE, kernel) | |
f = plt.figure(figsize=(15,15)) | |
f.add_subplot(1, 2, 1).set_title('Original Image'); | |
plt.imshow(img, cmap = "gray") | |
f.add_subplot(1, 2, 2).set_title('closing Image'); | |
plt.imshow(closing, cmap = "gray"); | |
plt.show() |
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