• 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

  • 相关阅读:
    状态栏加入日期,时间,星期
    delphi操作sql数据库的备份和强制还原
    delphi在执行双击事件的顺序
    Word Tokenization
    Edit Distance in biology
    Data mining 4_7
    HDOJ_ACM_逃离迷宫
    Sentence Segmentaion
    HDOJ_ACM_A计划
    HDOJ_ACM_Knight Moves
  • 原文地址:https://www.cnblogs.com/DjangoBlog/p/3559369.html
Copyright © 2020-2023  润新知