原始圖

角點(diǎn)檢測(cè)

points = cv2.goodFeaturesToTrack(gray, 100, 0.01, 10)points = np.int0(points).reshape(-1,2)for point in points: x, y = point.ravel() cv2.circle(img, (x, y), 10, (0, 255, 0), -1)

連線

cv2.line(img, (0, y1), (1000, y1), (0, 255, 0), thickness=3, lineType=8)cv2.line(img, (0, y2), (1000, y2), (0, 255, 0), thickness=3, lineType=8)

完整代碼

''' @author: qq群686070107''' import cv2import numpy as npimg=cv2.imread('1.jpg')gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)points = cv2.goodFeaturesToTrack(gray, 100, 0.01, 10)points = np.int0(points).reshape(-1,2)for point in points: x, y = point.ravel() cv2.circle(img, (x, y), 10, (0, 255, 0), -1)y1 = min(points[:,1])y2 = max(points[:,1])## small and big enough cv2.line(img, (0, y1), (1000, y1), (0, 255, 0), thickness=3, lineType=8)cv2.line(img, (0, y2), (1000, y2), (0, 255, 0), thickness=3, lineType=8)cv2.imshow('img', img)cv2.waitKey(0)

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