本文實(shí)例為大家分享了python+opencv實(shí)現(xiàn)霍夫變換檢測(cè)直線的具體代碼，供大家參考，具體內(nèi)容如下
python+opencv實(shí)現(xiàn)高斯平滑濾波
python+opencv實(shí)現(xiàn)閾值分割
功能：
創(chuàng)建一個(gè)滑動(dòng)條來(lái)控制檢測(cè)直線的長(zhǎng)度閾值，即大于該閾值的檢測(cè)出來(lái)，小于該閾值的忽略
注意：這里用的函數(shù)是HoughLinesP而不是HoughLines，因?yàn)镠oughLinesP直接給出了直線的斷點(diǎn)，在畫(huà)出線段的時(shí)候可以偷懶
代碼：
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# -*- coding: utf-8 -*- import cv2#兩個(gè)回調(diào)函數(shù)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)#臨時(shí)變量minLineLength = 20#全局變量minLINELENGTH = 20max_value = 100window_name = "HoughLines Demo"trackbar_value = "minLineLength"#讀入圖片，模式為灰度圖，創(chuàng)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)#創(chuàng)建滑動(dòng)條cv2.createTrackbar( trackbar_value, window_name, minLineLength, max_value, HoughLinesP)#初始化HoughLinesP(20)if cv2.waitKey(0) == 27: cv2.destroyAllWindows() |
調(diào)用：
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>>> import os>>> os.chdir("g:homework")>>> >>> import HoughLinesminLINELENGTH: 20minLINELENGTH: 21minLINELENGTH: 22minLINELENGTH: 23minLINELENGTH: 25minLINELENGTH: 26minLINELENGTH: 27minLINELENGTH: 28 |
效果圖：
以上就是本文的全部?jī)?nèi)容，希望對(duì)大家的學(xué)習(xí)有所幫助，也希望大家多多支持服務(wù)器之家。
原文鏈接：https://blog.csdn.net/xieyi4650/article/details/51361675
