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);