霍夫直线检测python_python+opencv实现霍夫变换检测直线的方法

# -*- coding: utf-8 -*-

import cv2

#两个回调函数

def HoughLinesP(minLineLength):

global minLINELENGTH

minLINELENGTH = minLineLength + 1

print "minLINELENGTH:",minLineLength + 1

tempIamge = scr.copy()

lines = cv2.HoughLinesP( edges, 1, cv2.cv.CV_PI/180, minLINELENGTH, 0 )

for x1,y1,x2,y2 in lines[0]:

cv2.line(tempIamge,(x1,y1),(x2,y2),(0,255,0),1)

cv2.imshow(window_name,tempIamge)

#临时变量

minLineLength = 20

#全局变量

minLINELENGTH = 20

max_value = 100

window_name = "HoughLines Demo"

trackbar_value = "minLineLength"

#读入图片，模式为灰度图，创建窗口

scr = cv2.imread("G:\\homework\\building.bmp")

gray = cv2.cvtColor(scr,cv2.COLOR_BGR2GRAY)

img = cv2.GaussianBlur(gray,(3,3),0)

edges = cv2.Canny(img, 50, 150, apertureSize = 3)

cv2.namedWindow(window_name)

#创建滑动条

cv2.createTrackbar( trackbar_value, window_name, \

minLineLength, max_value, HoughLinesP)

#初始化

HoughLinesP(20)

if cv2.waitKey(0) == 27:

cv2.destroyAllWindows()

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