opencv常用函数备忘

//显示图片

 IplImage * src = cvLoadImage("xx.JPG");
 cvNamedWindow("show_image",);
 cvShowImage("show_image",src);
 cvWaitKey();
 cvReleaseImage(&str);
 cvDestroyWindow("show_image");

//色彩空间转换，转换类型为CV_BGR2GRAY

 IplImage* dst = cvCreateImage(cvGetSize(src),src->depth,);
 cvCvtColor(src,dst,CV_BGR2GRAY);
  

//开、闭、膨胀、腐蚀操作

 IplConvKernel* element = cvCreateStructuringElementEx(,,,, CV_SHAPE_ELLIPSE,);//创建3*3椭圆结构元素
 IplImage * temp=cvCreateImage(cvGetSize(pGrayImg), IPL_DEPTH_8U,  );
 cvMorphologyEx(pGrayImg,pGrayImg, temp, element,CV_MOP_CLOSE,);//闭操作 先膨胀再腐蚀
 cvMorphologyEx(pGrayImg,pGrayImg, temp, element,CV_MOP_OPEN,);//开操作 先腐蚀再膨胀
 cvReleaseStructuringElement(&element);
 cvReleaseImage(&temp);
 cvDilate(  pGrayImg, pGrayImg, NULL, );//膨胀
 cvErode( pGrayImg, pGrayImg, NULL, );//腐蚀

//边缘检测

cvCanny(pGrayImg,pGrayImg, , ,  );//边缘检测  

//二值图像中检索轮廓

 int cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** first_contour,int header_size=sizeof(CvContour),int mode=CV_RETR_LIST,int method=CV_CHAIN_APPROX_SIMPLE, CvPoint offset=cvPoint(,) ); 

http://blog.csdn.net/augusdi/article/details/9000893

//二值图像中找圆、椭圆拟合

 //椭圆拟合
 void my_FitEllipse(CvSeq *pContour, CvBox2D *box_rect)
 {
     CvMat*p=cvCreateMat(,pContour->total,CV_32FC2);
     CvPoint2D32f *p_temp=(CvPoint2D32f*)(p->data.fl);

     for(int i=;i<pContour->total;i++)
     {
         CvPoint*p0=(CvPoint*)cvGetSeqElem(pContour,i);
         *p_temp=cvPointTo32f(*p0);
         p_temp++;
     }
     *box_rect  = cvFitEllipse2(p);
     cvReleaseMat(&p);
 }

 /*
 *功能描述:
 *   二值图像中找圆形
 *输入:
 *    pStrimg - 原图
 *    vCircle - 圆集合
 */
 void findCircle(IplImage *pStrImg, vector<Ccircle> &vCircle)
 {
     CvSeq *pContour = NULL;
     CvSeq *pConInner = NULL;
     CvMemStorage *pStorage = NULL;
     IplImage *pTmpImg = cvCreateImage(cvGetSize(pStrImg), pStrImg->depth, pStrImg->nChannels);
     cvCopy(pStrImg, pTmpImg);

     // 查找所有轮廓
     pStorage = cvCreateMemStorage();
     cvFindContours(pTmpImg, pStorage, &pContour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);

     int wai = ;
     int nei = ;
     for (; pContour != NULL; pContour = pContour->h_next)
     {
         wai++;
         // 内轮廓循环
         for (pConInner = pContour->v_next; pConInner != NULL; pConInner = pConInner->h_next)
         {
             nei++;
         }
         if(pContour->total < )
         {
             //TRACE("Number of points should be >= 5\n");
             continue;
         }
         CvBox2D box_rect;
         my_FitEllipse(pContour, &box_rect);
         if(fabs(box_rect.size.width - box_rect.size.height) < ){//椭圆长轴，短轴长度相近时判断为圆
             Ccircle circle;
             circle.center.x = box_rect.center.x;
             circle.center.y = box_rect.center.y;
             circle.r = (box_rect.size.height + box_rect.size.width) / ;
             vCircle.push_back(circle);
         }
         //cvEllipseBox(pBinary, box_rect, CV_RGB(255, 255, 255));
         TRACE("center:%f,%f, w:%f, h:%f\n", box_rect.center.x, box_rect.center.y, box_rect.size.width, box_rect.size.height);

         //CvRect rect = cvBoundingRect(pContour,0);
         //cvRectangle(pBinary, cvPoint(rect.x, rect.y), cvPoint(rect.x + rect.width, rect.y + rect.height),CV_RGB(255,255, 255), 1, 8, 0);
     }   

     printf("wai = %d, nei = %d", wai, nei);
     cvReleaseImage(&pTmpImg);
     cvReleaseMemStorage(&pStorage);
     pStorage = NULL;   

 }

//图像上点的访问

     uchar*data ;
     uchar*ivs_data ;
     //IplImage*ivs_image = cvCreateImage(cvGetSize(gray_image),IPL_DEPTH_8U, 1);

     ivs_height    = dst->height;
     ivs_width     = dst->width;
     ivs_step      = dst->widthStep/sizeof(uchar);
     ivs_channel = dst->nChannels;
     data   = (uchar*)str->imageData;
     //printf("Processing a %d X %d image with %d channel!\n",ivs_height,ivs_width,ivs_channel);

     ivs_data = (uchar*)dst->imageData;

     // 反色图像
     for(ivs_i=;ivs_i<ivs_height;ivs_i++)
     {
         for(ivs_j=;ivs_j<ivs_width;ivs_j++)
         {
             for(ivs_k=;ivs_k<ivs_channel;ivs_k++)
             {
                 ivs_data[ivs_i*ivs_step+ivs_j*ivs_channel+ivs_k]=-data[ivs_i*ivs_step+ivs_j*ivs_channel+ivs_k];

             }//k
         }//j
     }//i