opencv 检测图像线条 霍夫线检测

 1 # Writer : [email protected]
 2
 3 # Data  : 2020.3.21
 4
 5 import cv2 as cv
 6
 7 import numpy as np
 8
 9 img = cv.imread(‘../paojie.jpg‘)
10
11 gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
12
13 # 50,150 为二值化时的阈值 apertureSize为Sobel滤波器的大小
14
15 edges = cv.Canny(gray,50,150,apertureSize = 3)
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17 cv.imshow(‘Canny Result‘,edges)
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19 cv.imwrite(‘Canny_Result.jpg‘,edges)
20
21 # 高效的霍夫线检测算法
22
23 # edges ： 二值图像
24
25 # 1    ： ρ
26
27 # pi/180： θ
28
29 # 100  ： Accumulator threshold parameter. Only those lines are returned that get enough votes ( >threshold ).
30
31 # minLineLength ： Minimum length of line. Line segments shorter than this are rejected.
32
33 # maxLineGap    ： Maximum allowed gap between line segments to treat them as a single line.
34
35 lines = cv.HoughLinesP(edges,1,np.pi/180,100,minLineLength=100,maxLineGap=10)
36
37 for line in lines:
38
39     x1,y1,x2,y2 = line[0]
40
41     cv.line(img,(x1,y1),(x2,y2),(0,255,0),2)
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43 cv.imshow(‘HoughLines Result‘,img)
44
45 cv.imwrite(‘HoughLines_Result.jpg‘,img)
46
47 cv.waitKey(0)
48
49 cv.destroyAllWindows()

原图 ↑

Canny_Result.jpg ↑

HoughLines_Result.jpg ↑

原文地址：https://www.cnblogs.com/wojianxin/p/12540251.html