原始图

角点检测

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)

连线

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)

完整代码

""" @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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