分割移动微小物体

思路：
1. 前后两帧相减，得到差分图像
2.在差分图像里求像素最大的点（最亮的点）
这样就得到，移动微小物体

#include  " check.h "
#include  < iostream.h >                             
void  main()
{
    DWORD t1,t2;

    IplImage *frame=0;
    CvCapture *capture = cvCaptureFromAVI("E:\\跟踪\\有源窄滤波片2m30fps_2.avi");
    CCheck check;

    cvNamedWindow( "目标跟踪", 1 );//创建窗口

    frame = cvQueryFrame(capture);
    check.Init(frame);

    while(1)
    {
        frame = cvQueryFrame(capture);
        if(!frame)
        {
            break;
        }
        t1 = ::GetTickCount();
        CvPoint point = check.point(frame);
        IplImage *show = cvCloneImage( frame );
        cvCircle(show, point, 10, cvScalar(0,255,0), 2);
        cvShowImage("目标跟踪",show);
        cvReleaseImage( &show );    
        cvWaitKey(1);

        t2 = ::GetTickCount();
        cout << t2-t1 << endl;

    }
    cvReleaseCapture(&capture);

    cvDestroyWindow("目标跟踪");

}

#ifndef CHECK_H
#define  CHECK_H

#include  " cv.h "
#include  " highgui.h "
#include  " cvcam.h "
#include  " check.h "

#define     _I8(image,x,y)        (*((unsigned char*)(image)->imageData+(image)->widthStep*(y)+(x)))     // 直接调用图像的像素，x、y为整数(图像数据应为32F)

#define     _I32(img,x,y) ((float*)((img)->imageData + (img)->widthStep*(y)))[(x)]

class  CCheck
{
private:
    int px,py;
    int width,height;
    IplImage *frame1;    //当前帧
    IplImage *frame2;    //前一帧



public:
    CCheck();
    ~CCheck();
    void    Init(IplImage *img);
    CvPoint    point(IplImage *img);
} ;

#endif

#include  " check.h "
#include  < iostream.h >                             
void  main()
{
    DWORD t1,t2;

    IplImage *frame=0;
    CvCapture *capture = cvCaptureFromAVI("E:\\跟踪\\有源窄滤波片2m30fps_2.avi");
    CCheck check;

    cvNamedWindow( "目标跟踪", 1 );//创建窗口

    frame = cvQueryFrame(capture);
    check.Init(frame);

    while(1)
    {
        frame = cvQueryFrame(capture);
        if(!frame)
        {
            break;
        }
        t1 = ::GetTickCount();
        CvPoint point = check.point(frame);
        IplImage *show = cvCloneImage( frame );
        cvCircle(show, point, 10, cvScalar(0,255,0), 2);
        cvShowImage("目标跟踪",show);
        cvReleaseImage( &show );    
        cvWaitKey(1);

        t2 = ::GetTickCount();
        cout << t2-t1 << endl;

    }
    cvReleaseCapture(&capture);

    cvDestroyWindow("目标跟踪");

}

转载于:https://www.cnblogs.com/wqj1212/archive/2007/12/21/1009689.html