本文實例為大家分享了python+opencv實現霍夫變換檢測直線的具體代碼，供大家參考，具體內容如下

python+opencv實現高斯平滑濾波
python+opencv實現閾值分割

功能：

創建一個滑動條來控制檢測直線的長度閾值，即大于該閾值的檢測出來，小于該閾值的忽略
注意：這里用的函數是HoughLinesP而不是HoughLines，因為HoughLinesP直接給出了直線的斷點，在畫出線段的時候可以偷懶

代碼：

# -*- coding: utf-8 -*- import cv2#兩個回調函數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)#創建滑動條cv2.createTrackbar( trackbar_value, window_name, /     minLineLength, max_value, HoughLinesP)#初始化HoughLinesP(20)if cv2.waitKey(0) == 27:  cv2.destroyAllWindows()

調用：

>>> 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內容，希望對大家的學習有所幫助，也希望大家多多支持武林站長站。