opencv删除二值图中较小的噪点色块

 CvSeq* contour = NULL;
   double minarea = 100.0;
   double tmparea = 0.0;
CFileDialog dlg(true);
if (dlg.DoModal()==IDOK)
{
    CvMemStorage* storage = cvCreateMemStorage();   
 
    IplImage* img_src= cvLoadImage(dlg.GetPathName(),CV_LOAD_IMAGE_ANYCOLOR);
    IplImage* img_Clone=cvCloneImage(img_src);
    //访问二值图像每个点的值
    uchar *pp;
    //显示原始图像
    cvNamedWindow("img_src",CV_WINDOW_AUTOSIZE);
    cvShowImage("img_src", img_src);   
 
    IplImage* img_dst = cvCreateImage(cvGetSize(img_src),IPL_DEPTH_8U,);   
 
    //------------搜索二值图中的轮廓，并从轮廓树中删除面积小于某个阈值minarea的轮廓-------------//
    CvScalar color = cvScalar(,,);//CV_RGB(128,0,0);
    CvContourScanner scanner = NULL;
scanner = cvStartFindContours(img_src,storage,sizeof(CvContour),CV_RETR_CCOMP,CV_CHAIN_APPROX_NONE,cvPoint(,));
    //开始遍历轮廓树
    CvRect rect;
    while (contour=cvFindNextContour(scanner))
    {
        tmparea = fabs(cvContourArea(contour));
            rect = cvBoundingRect(contour,);
        if (tmparea < minarea/*||tmparea>4900*/)
        {   
 
        //当连通域的中心点为黑色时，而且面积较小则用白色进行填充
            pp=(uchar*)(img_Clone->imageData + img_Clone->widthStep*(rect.y+rect.height/)+rect.x+rect.width/);
            if (pp[]==)
            {
                for(int y = rect.y;y<rect.y+rect.height;y++)
                {
                    for(int x =rect.x;x<rect.x+rect.width;x++)
                    {
                        pp=(uchar*)(img_Clone->imageData + img_Clone->widthStep*y+x);   
 
                        if (pp[]==)
                        {
                            pp[]=;
                        }
                    }
                }
            }   
 
        }
    }
cvSaveImage("c://temp//aav.bmp",img_Clone);