Created
October 22, 2013 16:24
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| import cv2 | |
| import numpy as np | |
| img = cv2.imread('sudoku.jpg') | |
| gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
| gray = cv2.GaussianBlur(gray, (7, 7), 0) | |
| thresh = cv2.adaptiveThreshold(gray, 255, 1, 1, 7, 2) | |
| contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) | |
| biggest = None | |
| max_area = 0 | |
| for i in contours: | |
| area = cv2.contourArea(i) | |
| if area > 100: | |
| peri = cv2.arcLength(i, True) | |
| approx = cv2.approxPolyDP(i, 0.02 * peri, True) | |
| if area > max_area and len(approx) == 4: | |
| cv2.drawContours(img,[i], 0, (0, 255, 0), 2) | |
| biggest = approx | |
| max_area = area | |
| cv2.imshow('img', img) | |
| cv2.imshow('tresh', thresh) | |
| cv2.waitKey(0) | |
| cv2.destroyAllWindows() |
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