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opencv判断正圆与椭圆 opencv椭圆检测与定位

椭圆



        椭圆(Ellipse)是平面内到定点F1、F2的距离之和等于常数(大于|F1F2|)的动点P的轨迹,F1、F2称为椭圆的两个焦点。其数学表达式为:                                                                                                                 |PF1|+|PF2|=2a(2a>|F1F2|)。[1] 



        椭圆是圆锥曲线的一种,即圆锥与平面的截线。[2] 椭圆在开普勒行星运行三定律中扮演了重要角色,即恒星是椭圆两焦点中的一个,是数学科重点研究的一个项目。[3] 





标准方程:

      



        椭圆的标准方程共分两种情况:



               当焦点在x轴时,椭圆的标准方程是:x^2/a^2+y^2/b^2=1,(a>b>0);



              当焦点在y轴时,椭圆的标准方程是:y^2/a^2+x^2/b^2=1,(a>b>0);



                                                  其中a^2-c^2=b^2



参数方程:

       椭圆上点的参数方程为:

             y = a *sin(  alp ) 

             x=  a *cos( alp )  (a>b>0);

 此时的角度alp不是中心点到椭圆上点的角度,而是椭圆的仿射圆上的点到圆心的角度,计算角度应考虑到压缩。

压缩方向:

         Height方向拉伸;

         计算变化后的beta;

         计算坐标:

             y = a *sin(  beta ) 

             x=  a *cos( beta )  (a>b>0);

         Height方向压缩;


y = a *sin(  beta ) *(b/a)
               x=  a *cos( beta )                   (a>b>0);

       计算距离。

椭圆上点的计算方程:

(a>b>0);

               对应的圆的方程: R = a;

               圆上的点的坐标: x2 = R * sin(Beta)    y2 = R * cos(beta);

               不变性:  alp = beta                 

       对应椭圆点的坐标:

               角度:  alp = beta

               角度:  alp = beta

              

计算椭圆上点的代码:

     代码是错误的,不能把点压缩到椭圆上

//调整椭圆边缘到标准椭圆;在角度方向上进行拉伸
		//angleOfDip 为椭圆的偏斜角,弧度值!
		//增加边界检查
		template <class T1,class T2>
		float AdjustEllipseEdge(
			std::vector<std::pair< T1, T2 > >  &closeEdgeIn,
			std::vector<std::pair< T1, T2 > >  &closeEdgeOut,
			const cv::RotatedRect &ecf,
			const cv::Point2f &rfCentroidS,
			const double angleOfDipSrc,
			const int ww,
			const int hh)
		{
			assert(closeEdgeIn.size() == closeEdgeOut.size() );
			int w = ww -1;
			int h = hh -1;

			const cv::Point2f rfCentroid = ecf.center;
			//cv::Point2f rfCentroid(0,0);
			std::vector< double > angleListS;//为点椭圆角度,用于求取 椭圆点到中心的距离
			angleListS.resize( closeEdgeIn.size() );

			int vOrH = 0;//水平或者竖直?
			vOrH = ecf.size.width > ecf.size.height? 0:1;//若0,则为V;或者为1,水平

			double angleOfDip = 0;
			if (0 == vOrH )
			{//若为水平//width 的倾角
				angleOfDip  = angleOfDipSrc; 
			} 
			else
			{
				angleOfDip  = angleOfDipSrc - PI_1_2; 
			}

			double a = max(ecf.size.height/2.0,ecf.size.width /2.0);//长轴//固定后使用方程
			double b = min(ecf.size.height/2.0,ecf.size.width /2.0);

#ifdef SHOW_TEMP
			cv::Mat canvasSrc = cv::Mat::zeros(200,200,CV_8UC3);
			cv::bitwise_not(canvasSrc,canvasSrc);
			cv::ellipse(canvasSrc,ecf,cv::Scalar(0,0,255),1,8);
#endif

			//在此测试,cos计算的代码
#ifdef SHOW_TEMP

			cv::RotatedRect ecT = RotatedRect(Point2f(100,100), Size2f(50,100), 30);
			std::vector<std::pair< cv::Point2f, double > >  PointCosTest(0);
			cvWish::polygon::GetElipseEdge(ecT, PointCosTest, (ecT.size.height + ecT.size.height)/5.0 );
			cv::ellipse(canvasSrc, ecT, cv::Scalar(0,0,255), 1, 8);
			
			for ( int i=0; i< PointCosTest.size(); ++i)
			{
				cv::circle( canvasSrc, PointCosTest[i].first, 1, cv::Scalar(255,0,0), 1, 8, 0 );
				double af = cvWish::cosCv(ecT.center,PointCosTest[i].first);//cosCv出现计算问题
				std::cout<< "Cos:" << af<< std::endl;
				std::cout<< "Angle:" << PointCosTest[i].second << std::endl;
				cv::imshow("PointCosTest",canvasSrc);
				cv::waitKey(1);
			}

#endif

			for ( int i=0; i<closeEdgeIn.size(); ++i )
			{
				closeEdgeIn[i].second  = cvWish::cosCv( rfCentroid, closeEdgeIn[i].first );

				angleListS[i]  = closeEdgeIn[i].second;
				angleListS[i] -= angleOfDip;//旋转
				angleListS[i]  = angleListS[i]> PI_4_2 ? angleListS[i] - PI_4_2:angleListS[i];

				//探测距离
				double disPC    = cvWish::disCv(rfCentroid,closeEdgeIn[i].first);

				double alp =  angleListS[i];
				//alp =  alp *180/M_PI;
				double disShould = 
					sqrt( b*sin(alp ) *b*sin(alp ) + a*cos(alp) *a*cos(alp) );//公式无误,角度出现问题?
				     //sqrt( b*cos(alp ) *b*cos(alp ) + a*sin(alp) *a*sin(alp) );//公式无误,角度出现问题?
				//可能问题,方向角度出现往长轴极点的方向进行压缩,导致生成距离变大。
				
				//double disShould = sqrt( 
				//	ecf.size.width*cos(angleListS[i]) *ecf.size.width*cos(angleListS[i]) /4
				//	+ ecf.size.height*sin(angleListS[i]) *ecf.size.height*sin(angleListS[i])/4 );
				std::cout<< alp << std::endl;
				std::cout<< cos(alp)  << std::endl;
				std::cout<<"disPc:" <<disPC << std::endl;
				std::cout<< "disShould:" << disShould << std::endl;

#ifdef SHOW_TEMP
				//cv::Mat canvasSrc(100,100,CV_8UC3);
				cv::circle(canvasSrc,closeEdgeIn[i].first,1,cv::Scalar(255,0,0),1,8,0);
				cv::imshow("edgeEvolution",canvasSrc);
				cv::waitKey(1);
#endif
				//调整点到椭圆上
				//adjustPoint2Elipse();

				//根据距离 往角度方向上拉伸点//角度其实产生了偏离//偏角使用图片偏角
				cvWish::PullPoint2Out( closeEdgeIn[i].first, closeEdgeIn[i].second, ( disPC - disShould ) );	

				closeEdgeOut[i].first  = closeEdgeIn[i].first;
				已确认大于0,此时确认不超边界
				closeEdgeOut[i].first.x = min(closeEdgeOut[i].first.x,w);
				closeEdgeOut[i].first.y = min(closeEdgeOut[i].first.y,h);

				closeEdgeOut[i].second = closeEdgeIn[i].second;
#ifdef SHOW_TEMP
				cv::circle(canvasSrc,closeEdgeOut[i].first,1,cv::Scalar(0,255,0),1,8,0);
				cv::imshow("edgeEvolution",canvasSrc);
				cv::waitKey(1);
#endif
			}

			return 1.0;
		}



代码修改:

     使用一个仿射变换

//调整椭圆边缘到标准椭圆;在角度方向上进行拉伸
		//angleOfDip 为椭圆的偏斜角,弧度值!
		//增加边界检查
		template <class T1,class T2>
		float AdjustEllipseEdge(
			std::vector<std::pair< T1, T2 > >  &closeEdgeIn,
			std::vector<std::pair< T1, T2 > >  &closeEdgeOut,
			const cv::RotatedRect &ecf,
			const cv::Point2f &rfCentroidS,
			const double angleOfDipSrc,
			const int ww,
			const int hh)
		{
			assert(closeEdgeIn.size() == closeEdgeOut.size() );
            int w = ww -1;
            int h = hh -1;

            const cv::Point2f rfCentroid = ecf.center;
            //cv::Point2f rfCentroid(0,0);
            std::vector< double > angleListS;//为点椭圆角度,用于求取 椭圆点到中心的距离
            angleListS.resize( closeEdgeIn.size() );

            int vOrH = 0;//水平或者竖直?
            vOrH = ecf.size.width > ecf.size.height? 0:1;//若0,则为V;或者为1,水平

            double angleOfDip = 0;
            if (0 == vOrH )
            {//若为水平//width 的倾角
                angleOfDip  = angleOfDipSrc; 
            } 
            else
            {
                angleOfDip  = angleOfDipSrc - PI_1_2; 
            }

            //double a = max(ecf.size.height/2.0,ecf.size.width /2.0);//长轴//固定后使用方程
            //double b = min(ecf.size.height/2.0,ecf.size.width /2.0);
            double b = ecf.size.height/2.0//长轴//固定后使用方程
            double a = ecf.size.width /2.0;
            double compressFactor = b /a ;//压缩或者缩放因子

#ifdef SHOW_TEMP
            cv::Mat canvasSrc = cv::Mat::zeros(200,200,CV_8UC3);
            cv::bitwise_not(canvasSrc,canvasSrc);
            cv::ellipse(canvasSrc,ecf,cv::Scalar(0,0,255),1,8);
#endif

            //在此测试,cos计算的代码
#ifdef SHOW_TEMP

            cv::RotatedRect ecT = RotatedRect(Point2f(100,100), Size2f(50,100), 30);
            std::vector<std::pair< cv::Point2f, double > >  PointCosTest(0);
            cvWish::polygon::GetElipseEdge(ecT, PointCosTest, (ecT.size.height + ecT.size.height)/5.0 );
            cv::ellipse(canvasSrc, ecT, cv::Scalar(0,0,255), 1, 8);
            
            for ( int i=0; i< PointCosTest.size(); ++i)
            {
                cv::circle( canvasSrc, PointCosTest[i].first, 1, cv::Scalar(255,0,0), 1, 8, 0 );
                double af = cvWish::cosCv(ecT.center,PointCosTest[i].first);//cosCv出现计算问题
                std::cout<< "Cos:" << af<< std::endl;
                std::cout<< "Angle:" << PointCosTest[i].second << std::endl;
                cv::imshow("PointCosTest",canvasSrc);
                cv::waitKey(1);
            }

#endif

            for ( int i=0; i<closeEdgeIn.size(); ++i )
            {
                closeEdgeIn[i].second  = cvWish::cosCv( rfCentroid, closeEdgeIn[i].first );

                //压缩方向
                angleListS[i]  = closeEdgeIn[i].second;
                angleListS[i] -= angleOfDip;//旋转
                angleListS[i]  = angleListS[i]> PI_4_2 ? angleListS[i] - PI_4_2:angleListS[i];

                //探测距离
                double disPC    = cvWish::disCv(rfCentroid,closeEdgeIn[i].first);

                //double alp =  angleListS[i];
                //alp =  alp *180/M_PI;
                //double disShould = sqrt( b*sin(alp ) *b*sin(alp ) + a*cos(alp) *a*cos(alp) );//公式无误,角度出现问题?
                //可能问题,方向角度出现往长轴极点的方向进行压缩,导致生成距离变大。

                //计算对应仿射圆的角度
                double xDeta =  closeEdgeIn[i].first.x - rfCentroid.x;
                double yDeta =  closeEdgeIn[i].first.y - rfCentroid.y;
                yDeta /= compressFactor;

                //计算角度
                double beta = cvWish::cosCv( rfCentroid, cv::Point2f( rfCentroid.x + xDeta, rfCentroid.y+ yDeta ) );
                double r = a;                                                                
                xDeta  =  r* cos(beta);
                yDeta  =  r* sin(beta);
                yDeta *= compressFactor;

                //直接计算距离
                double disShould = sqrt( xDeta*xDeta + yDeta*yDeta );//公式无误,角度出现问题?

                std::cout<<"disPc:" <<disPC << std::endl;
                std::cout<< "disShould:" << disShould << std::endl;

#ifdef SHOW_TEMP
                //cv::Mat canvasSrc(100,100,CV_8UC3);
                cv::circle(canvasSrc,closeEdgeIn[i].first,1,cv::Scalar(255,0,0),1,8,0);
                cv::imshow("edgeEvolution",canvasSrc);
                cv::waitKey(1);
#endif
                //调整点到椭圆上
                //adjustPoint2Elipse();

                //根据距离 往角度方向上拉伸点//角度其实产生了偏离//偏角使用图片偏角
                cvWish::PullPoint2Out( closeEdgeIn[i].first, closeEdgeIn[i].second, ( disPC - disShould ) );    

                closeEdgeOut[i].first  = closeEdgeIn[i].first;
                已确认大于0,此时确认不超边界
                closeEdgeOut[i].first.x = min(closeEdgeOut[i].first.x,w);
                closeEdgeOut[i].first.y = min(closeEdgeOut[i].first.y,h);

                closeEdgeOut[i].second = closeEdgeIn[i].second;
#ifdef SHOW_TEMP
                cv::circle(canvasSrc,closeEdgeOut[i].first,1,cv::Scalar(0,255,0),1,8,0);
                cv::imshow("edgeEvolution",canvasSrc);
                cv::waitKey(1);
#endif
            }

            return 1.0;
        }



从一个椭圆上面获取特定个数的点的函数:

//参数描述:椭圆;输出的点集;欲获取的点的个数
		int polygon::GetElipseEdge(
			const cv::RotatedRect &ecf,  
			std::vector<std::pair< cv::Point2f, double > >  &ellipseEdge,
			const int numPs,
			cv::Rect &roiRestrict,
			bool openEdgeRestrict )
		{
			if ( numPs == 0 )
			{
				return numPs;
			}
			else
			{
				ellipseEdge.resize( numPs );
			}

			//对椭圆进行划分
			const double angleGap = PI_4_2/numPs;
			const double cx = ecf.center.x;
			const double cy = ecf.center.y;
			const float angleOfDip =  PI_1_2 + ecf.angle*3.1415926 /180.0;//为何偏移了 半个pi
			//const double angleOfDip =0- ecf.angle*3.1415926 /180.0;//

			double w = ecf.size.width /2.0;
			double h = ecf.size.height/2.0;
			for (int i=0 ;i< numPs;++i )
			{
				double as = i*angleGap ;

				double a = as ;
				a += angleOfDip;
				a = a>PI_4_2? a-PI_4_2:a;

				double y = (w) *sin( a );
				double x = (h) *cos( a );

				//旋转
				float xDeta = x*cos( angleOfDip ) - y*sin( angleOfDip );
				float yDeta = x*sin( angleOfDip ) + y*cos( angleOfDip );

				cv::Point2f p( cx+xDeta, cy+yDeta);
				//ellipseEdge[i] = (std::pair< T1, T2 >)(std::make_pair( p,as ) );
				//ellipseEdge[i] = (std::pair< cv::Point2f, double >)(std::make_pair( p,as ) );//此处代码只为运行于GCC修改,有问题,模板库不能使用!!!wishchin!!!
				ellipseEdge[i].first.x = p.x;
				ellipseEdge[i].first.y = p.y;
				ellipseEdge[i].second  =  as;
			}

			
			if (openEdgeRestrict)
			{
				float x,y;
				float xS(roiRestrict.x), yS(roiRestrict.y), xE(roiRestrict.x+roiRestrict.width), yE(roiRestrict.y+roiRestrict.height );
				
				for (int i=0 ;i< numPs;++i )
				{
					x = ellipseEdge[i].first.x;
					y = ellipseEdge[i].first.y;

					x = (std::min)( (std::max)(x,xS),xE );
					y = (std::min)( (std::max)(y,yS),yE );

					//ellipseEdge[i].first = cv::Point2f(x,y);
					ellipseEdge[i].first.x = x;
					ellipseEdge[i].first.y = y;
				}
			} 
			else
			{
			}

			return 1;
		}



 结果显示:

       原始结果:                                                                                    修改后结果:

         

opencv判断正圆与椭圆 opencv椭圆检测与定位,opencv判断正圆与椭圆 opencv椭圆检测与定位_人工智能,第1张

     

opencv判断正圆与椭圆 opencv椭圆检测与定位,opencv判断正圆与椭圆 opencv椭圆检测与定位_opencv判断正圆与椭圆_02,第2张

                                           

opencv判断正圆与椭圆 opencv椭圆检测与定位,opencv判断正圆与椭圆 opencv椭圆检测与定位_opencv判断正圆与椭圆_03,第3张

   


 


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