opencv 查找矩形

opencv 查找矩形

//矩形查找
BOOL CImageFun::FindSquares(IplImage *srcImage, double fMaxR, double fMinR, ARRCIR_XY_R &ptarr, int npar1, int npar2)
{
	CvSeq *contour;   
	int header_size, i, count;
	CvPoint *PointArray;   
	CvPoint2D32f *PointArray32f;   
	CvPoint myCenter;   
	CvBox2D *myBox = (CvBox2D *) malloc(sizeof(CvBox2D));  //用于画圆和椭圆，这里将是 方形边缘周长拟合的圆
	header_size = sizeof(CvContour);
	IplImage* gray = Canny(srcImage,npar1,npar2);

	IplImage *dst_=cvCloneImage( srcImage );

	CvMemStorage* storage = cvCreateMemStorage(0);
	int number_of_c=cvFindContours (gray , storage, &contour, header_size, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
	// 检查所有的轮廓    
	while(contour!=NULL) //当轮廓contour不为空时
	{   
		if(CV_IS_SEQ_CURVE(contour))   
		{   
			count = contour ->total;//序列元素的总数，即轮廓上点的总数    
			PointArray = (CvPoint *)malloc(count * sizeof(CvPoint));   
			cvCvtSeqToArray(contour, PointArray, CV_WHOLE_SEQ);   
			PointArray32f = (CvPoint2D32f *) malloc((count + 1) * sizeof(CvPoint2D32f));   
			ARRPOINT arr;
			POINT pt;
			for (i=0; i=7)   
			{     
				cvFitEllipse(PointArray32f, count,myBox);   
				myCenter.x = (int) myBox->center.x;   
				myCenter.y = (int) myBox->center.y;   
				double length  = myBox->size.height / 2;
				double width   = myBox->size.width  / 2;

				BOOL bOk =(myCenter.x > 0) && (myCenter.y >0);
				bOk &= myCenter.x - length >=0;
				bOk &= myCenter.x + length <= srcImage->width;
				bOk &= myCenter.y - length >=0;
				bOk &= myCenter.y + length <= srcImage->height;
				bOk &= length >= fMinR && length <= fMaxR;
				////////////////////////
				//过滤，半径过大的，过小的，丢弃
				if (!bOk)
				{
					goto EXIT_END;
				}

				cvCircle( dst_, cvPoint(cvRound(myCenter.x),cvRound(myCenter.y)), 3, CV_RGB(0,255,0), -1, 8, 0 );
				cvCircle( dst_, cvPoint(cvRound(myCenter.x),cvRound(myCenter.y)), cvRound(myBox->size.height / 2), CV_RGB(255,0,0), 1, 8, 0 );
				//DBWindowWrite(_T("圆心坐标x= %d 圆心坐标y=%d 半径=%.3f"),myCenter.x,myCenter.y,length);

				/////////////简单的将找到的位置信息加到集合中////////////
				CIR_XY_R ptcyr = {myCenter.x, myCenter.y,length};
				ptarr.push_back(ptcyr);
				/*//创建一个矩形，然后
				POINT ptcr;
				ptcr.x = myCenter.x;
				ptcr.y = myCenter.y;
				ARRPOINT::iterator iter;
				for (iter = arr.begin(); iter != arr.end(); iter++)
				{
				float fdis = GetPointDistance(ptcr,*iter);
				DBWindowWrite(_T("坐标x=%d 坐标y= %d"),(*iter).x,(*iter).y);
				}
				bOk &= abs(length - width) <= nMarkPixOffset;
				if(bOk)          //检测所有的点是否在圆上，容许的10的数据误差，误差+-2个像素
				{  
					POINT ptcr;
					ptcr.x = myCenter.x;
					ptcr.y = myCenter.y;
					int nOut =0;
					ARRPOINT::iterator iter;
					for (iter = arr.begin(); iter != arr.end(); iter++)
					{
						float fdis = GetPointDistance(ptcr,*iter);
						if(abs(fdis - length) <= nMarkPixOffset) nOut++;
					}

					CIR_XY_R ptcyr = {myCenter.x, myCenter.y,length};
					float fbl = (float)nOut / arr.size();
					if(fbl >= fMarkTolerance)  ptarr.push_back(ptcyr); //找到了就直接跳出来
				}*/
			}   
EXIT_END:
			free(PointArray32f );   
			free(PointArray );   
			if(ptarr.size()) break;
		}   
		contour = contour->h_next;   
	}   
	//cvShowImage( "template", dst_ ); 
	//cvWaitKey( 0 );
 
	free (myBox);               
	cvReleaseImage(&gray);
	cvReleaseImage(&dst_);
	cvReleaseMemStorage(&storage);   
	//过滤集合数据
	if (FALSE){
		double dx=0,dy=0,dr=0;
		for (int i=0;i