opencv 椭圆检测识别并画出轮廓

int pointX = 0;
for (int i=0;i<19;i++)
{pointX=60*i+30;
cvEllipse(pImg,cvPoint(pointX,80),cvSize(19,20),-200,0,360,CV_RGB(255,255,255),-1,CV_AA,0);
}
IplImage* m_imageGray = cvCreateImage(cvSize(pImg->width,pImg->height),IPL_DEPTH_8U,1);
CvPoint2D32f pointXX;
float XXX,YYY;
for (int i = 0;i<19;i++)
{
pointX=60*i+60;
pointXX = GetCPoint(m_imageBw,pointX);
XXX=pointXX.x;
YYY=pointXX.y;
cout<<XXX<<" "<<YYY<<endl;
if (Value.val[0]!=0)
{
Xsum=Xsum+i;
Ysum=Ysum+j;
Sum++;
}
}
}
point.x=Xsum/Sum;
point.y=Ysum/Sum;
return point;
}
void FitEllipseBlob(IplImage* imageFg)
{
///////////*cvEllipse(m_CalibrateImageF,cvPoint(200,300),cvSize(10,11),-202.55482,0,360,CV_RGB(255,0,0),1,CV_AA,0);return;
{
PointArray2D32f[i].x=(float)PointArray[i].x;
PointArray2D32f[i].y=(float)PointArray[i].y;
}
//拟合当前轮廓
cvFitEllipse(PointArray2D32f,count,box);
//绘制当前轮廓
/*cvDrawContours(m_CalibrateImageF,cont,CV_RGB(0,255,0),CV_RGB(0,255,0),
box->angle = -box->angle;
XXXX=center.x;
YYYY=center.y;
cout<<XXXX<<" "<<YYYY<<endl;
free(PointArray);
free(PointArray2D32f);
free(box);
}
cvShowImage("Result",image04);
IplImage* m_imageBw = cvCreateImage(cvSize(pImg->width,pImg->height),IPL_DEPTH_8U,1);
cvCvtColor(pImg,m_imageGray,CV_RGB2GRAY);
cvThreshold(m_imageGray,m_imageBw,128,255,CV_THRESH_BINARY);
CvMemStorage *stor;
CvSeq *cont;
CvBox2D32f *box;
CvPoint *PointArray;
CvPoint2D32f *PointArray2D32f;
stor = cvCreateMemStorage(0);
cont = cvCreateSeq(CV_SEQ_ELTYPE_POINT,sizeof(CvSeq),sizeof(CvPoint),stor);
{
CvPoint2D32f point;
double Xsum=0,Ysum=0,Sum=0;
CvScalar Value;
for (int j=0;j<imageFg->height;j++)
{
for (int i= maxX-60;i<maxX;i++)
{
Value=cvGet2D(imageFg,j,i);
*#include "stdafx.h"
#include "cv.h"
#include "highgui.h"
using namespace cv;
using namespace std; //标示符的可见范围
CvPoint2D32f GetCPoint(IplImage* imageFg,int maxX);
}
cout<<endl;
cout<<endl;
cout<<endl;
cout<<endl;
cout<<endl;
FitEllipseBlob(m_imageBw);
cvNamedWindow( "Image", 1 );//创建窗口
cvShowImage( "Image", m_imageBw );//显示图像
}
//分配内存给椭圆数据
box = (CvBox2D32f *)malloc(sizeof(CvBox2D32f));
//得到点集（这个方法值得借鉴）
cvCvtSeqToArray(cont,PointArray,CV_WHOLE_SEQ);
//将CvPoint点集转化为CvBox2D32f集合
for (i=0;i<count;i++)
0,1,8,cvPoint(0,0));*/
//将椭圆数据从浮点转化为整数表示
center.x = cvRound(box->center.x);
center.y = cvRound(box->center.y);
size.width = cvRound(box->size.width*0.5);
size.height = cvRound(box->size.height*0.5);
/////*cvSetImageROI(imageFg,BlobRect);
cvFindContours(imageFg,stor,&cont,sizeof(CvContour),
CV_RETR_LIST,CV_CHAIN_APPROX_NONE,cvPoint(0,0));
at XXXX,YYYY;
void FitEllipseBlob(IplImage* imageFg);
int main( int argc, char** argv )
{
IplImage* pImg; //声明IplImage指针
//载入图像
pImg = cvLoadImage( "C:\\Users\\BB\Desktop\\bec\\OPENCV椭圆拟合定位椭圆中心点以及重心法定位程序\\OPENCV椭圆拟合定位椭圆中心点以及重心法定位程序\\特征中心点提取误差分析\\image.bmp", 1);//[[此处的argc==2是否需要改成argc==1？我改了之后才能运行成功。求大牛解惑]] // wmzzzz :在"属性"|"debug"|里的command arguments里加入参数(一个路径:要打开的文件路径)这时argc==2就合理了...可以试试多加几个
// cvResetImageROI(imageFg);
//绘制所有轮廓并用椭圆拟合
for (;cont;cont = cont ->h_next)
{
int i;
int count= cont->total;//轮廓个数
CvPoint2D32f center;
CvSize size;
////*个数必须大于6，这是cvFitEllipse_32f的要求
cvSaveImage("image.bmp",pImg);
cvWaitKey(0); //等待按键
cvDestroyWindow( "Image" );//销毁窗口
cvReleaseImage( &pImg ); //释放图像
return 0;
}
CvPoint2D32f GetCPoint(IplImage* imageFg,int maxX)
if (count<6)
{
continue;
}
//分配内存给点集
PointArray = (CvPoint *)malloc(count*sizeof(CvPoint));
PointArray2D32f = (CvPoint2D32f*)malloc(count*sizeof(CvPoint2D32f));