opencv for python 之 突出点检测

opencv下载地址：http://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.3/OpenCV-2.4.3.exe/download

Python

操作可以找到一张图片中突出点的，比如周围都是黑色像素的一个白色像素将被找到

 

import cv2.cv as cv

 

 

#load image

filename = "../Video/cat.jpg"

image = cv.LoadImage(filename)

 

 

#create one window

win_name = "test"

cv.NamedWindow(win_name)

win2_name = "test2"

cv.NamedWindow(win2_name)

 

cv.ShowImage(win2_name, image)

 

 

#set created image

size = cv.GetSize(image)#(100, 100)

depth = 8

channels = 1

 

 

#grey operate

grey = cv.CreateImage(size, depth, channels)#create one 100x100 single channels image

cv.CvtColor(image, grey, cv.CV_BGR2GRAY)

 

 

 

#create the wanted images

eig = cv.CreateImage(cv.GetSize(grey), 32, 1)

temp = cv.CreateImage(cv.GetSize(grey), 32, 1)

 

 

 

#the default parameters

qualityLevel = 0.01

min_Distance = 10

 

 

 

#search the good points

features = cv.GoodFeaturesToTrack(grey, eig, temp, 100, qualityLevel, min_Distance, None, 3, 0, 0.04)

 

for (x,y) in features:

    #print ("Good feature a:", x ,',' , y)

    cv.Circle(image, (int(x), int(y)), 2, (255,0,0), -1, 8, 0)

    

cv.ShowImage(win_name, image)

cv.WaitKey()

cv.DestroyAllWindows()

 

处理结果

转载于:https://www.cnblogs.com/DjangoBlog/p/3559369.html