OpenCV 2.31：定制大小椭圆拟合与轮廓筛选示例

//input:src 是单通道 ,8位, 黑白图，黑色为背景 ; area:轮廓面积，当大于此值时，认为是物体。 output:box
bool fit_ellipse( IplImage* src , double area, CvBox2D& box )
{
      if(src ->nChannels != 1)
     {
            return false ;
     }

      //IplImage* image4 = cvCreateImage( cvGetSize(src ), src->depth , src-> nChannels);
      CvMemStorage* storage = cvCreateMemStorage( 0);
      CvSeq* seq = NULL;
      CvSeq* seqInner = NULL;
      //寻找边缘
      int nContour = cvFindContours( src, storage , &seq, sizeof(CvContour ), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);

      //遍历
      bool bCase = false;
      for(; seq != NULL; seq = seq ->h_next)
     {
            double dArea = fabs( cvContourArea(seq , CV_WHOLE_SEQ));
            if( dArea >= area)
           {
                //cvZero(image4 );
                //cvDrawContours(image4 ,seq, cvScalar(255 ,255, 255),cvScalar (0, 0,0 ),-1);
                 //测试，可删除
                //cvSaveImage("..\\ 边缘图 bmp",image4 );

                 box = cvFitEllipse2(seq);
               //  box = cvMinAreaRect2 (seq);
                 bCase = true ;