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

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opencv常用函数备忘

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