python opencv角点检测连线功能的实现代码

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 cv2
import numpy as np
img=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)

到此这篇关于python opencv角点检测 连线功能的实现代码的文章就介绍到这了,更多相关python opencv角点检测内容请搜索易盾网络以前的文章或继续浏览下面的相关文章希望大家以后多多支持易盾网络！