opencv 连通区域边界坐标提取

 #include
 #include "cv.h"
 #include "cxcore.h"
 #include "highgui.h"
 using namespace std;
 int main()
 {
     CvMemStorage *storage = cvCreateMemStorage(0);   // 内存存储序列
     IplImage *img = cvLoadImage("E:\\study_opencv_video\\lesson14_1\\Debug\\55.png", 0);
     IplImage *imgColor = cvCreateImage(cvGetSize(img), 8, 3);
     IplImage *contoursImage = cvCreateImage(cvGetSize(img), 8, 1);

     CvSeq *contours = 0, *contoursTemp = 0;
     cvZero(contoursImage);
     cvThreshold(img, img, 100, 255, CV_THRESH_BINARY);  // 二值化操作
     cvCvtColor(img, imgColor, CV_GRAY2BGR);
     int totals = cvFindContours(img, storage,&contours, sizeof(CvContour),    //img必须是一个二值图像 storage 用来存储的contours指向存储的第一个轮廓
         CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, cvPoint(0,0));
     contoursTemp = contours;
     int count = 0;
     int i;
     for(;contoursTemp != 0; contoursTemp = contoursTemp -> h_next)  /// 这样可以访问每一个轮廓  ====横向轮廓
     {
         for(i = 0; i < contoursTemp -> total; i++)    // 提取一个轮廓的所有坐标点
         {
             CvPoint *pt = (CvPoint*) cvGetSeqElem(contoursTemp, i);   // 得到一个轮廓中一个点的函数cvGetSeqElem
             cvSetReal2D(contoursImage, pt->y, pt->x, 255.0);
             cvSet2D(imgColor, pt->y, pt->x, cvScalar(0,0,255,0));
         }
         count ++;
         CvSeq *InterCon = contoursTemp->v_next;     // 访问每个轮廓的纵向轮廓
         for(; InterCon != 0; InterCon = InterCon ->h_next)
         {
             for(i = 0; i < InterCon->total; i++ )
             {
                 CvPoint *pt = (CvPoint*)cvGetSeqElem(InterCon, i);
                 cvSetReal2D(contoursImage, pt->y, pt->x, 255.0);
                 cvSet2D(imgColor, pt->y, pt->x, cvScalar(0, 255, 0, 0));
             }
         }
     }
     cvNamedWindow("contoursImage");
     cvShowImage("contoursImage", contoursImage);
     cvNamedWindow("imgColor");
     cvShowImage("imgColor",imgColor);
     cvWaitKey(0);
     cvReleaseMemStorage(&storage);      // 也要释放内存序列空间
     cvReleaseImage(&contoursImage);
     cvReleaseImage(&imgColor);
     cvDestroyWindow("contoursImage");
     cvDestroyWindow("imgColor");
     return 0;"font-family:Arial,Helvetica,sans-serif">}