运动目标检测中去除噪声的C代码

m_Frame=cvQueryFrame(m_Video);
nFrmNum++;
if(nFrmNum == 1) 
{
Frame = cvCreateImage(cvSize(m_Frame->width, m_Frame->height),  IPL_DEPTH_8U,1);
m_pContourImg = cvCreateImage(cvSize(m_Frame->width, m_Frame->height),  IPL_DEPTH_8U,3);
        bg_model = (CvGaussBGModel*)cvCreateGaussianBGModel(m_Frame, 0);

}
    else
{
//更新高斯模型 

        cvUpdateBGStatModel(m_Frame, (CvBGStatModel *)bg_model );
cvCopy(bg_model->foreground,Frame,0);//frame储存前景图
//cvCvtColor( Frame, m_pContourImg, CV_GRAY2BGR );
Frame->origin=m_Frame->origin;//把图像正过来
m_pContourImg->origin=m_Frame->origin;
//cvSmooth(Frame,Frame, CV_GAUSSIAN , 3, 0, 0);
 cvErode(Frame,Frame,0,1);
 cvDilate(Frame,Frame,0,1);

   //下面的程序段用来找到轮廓
    stor = cvCreateMemStorage(0);
    cont = cvCreateSeq(CV_SEQ_ELTYPE_POINT, sizeof(CvSeq), sizeof(CvPoint) , stor);
IplImage* img_Clone=cvCloneImage(Frame);//函数cvFindContours内部调用cvStartFindContours，cvStartFindContours对源图像进行了修改。所以图像会发生改变
    cvFindContours( img_Clone, stor, &cont, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0));

//删除面积小的连通域去噪
    for(;cont;cont = cont->h_next)