如何获取图像中的物体坐标?

效果图：

代码：
// FindGravity.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include <iostream>#include <string>#include "cv.h" #include "highgui.h" #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp>#pragma comment(lib,"opencv_core2410d.lib") #pragma comment(lib,"opencv_highgui2410d.lib") #pragma comment(lib,"opencv_imgproc2410d.lib") using namespace std;using namespace cv;void FindGravity(){}/** 计算二值图像的重心* @param[in] src 输入的待处理图像* @param[out] center 重心坐标* @retval 0 操作成功* @retval -1 操作失败* @note 输入图像是二值化图像* @note xc=M10/M00, yc=M01/M00, 其中 Mx_order,y_order=SUMx,y(I(x,y)*x^x_order*y^y_order) */static int aoiGravityCenter(IplImage *src, CvPoint ¢er){//if(!src)// return GRAVITYCENTER__SRC_IS_NULL;double m00, m10, m01;CvMoments moment;cvMoments( src, &moment, 1);m00 = cvGetSpatialMoment( &moment, 0, 0 );if( m00 == 0)return 1;m10 = cvGetSpatialMoment( &moment, 1, 0 );m01 = cvGetSpatialMoment( &moment, 0, 1 );center.x = (int) (m10/m00);center.y = (int) (m01/m00);return 0;}IplImage* binary_image(IplImage* src){// cvThreshold( src, src, 100, 255, CV_THRESH_BINARY );//100 is the thredhold IplImage* one_channel = cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,0);for(int y = 0;y < src->height;y++){char *ptr= src->imageData + y * src->widthStep;char *p_one_channel = one_channel->imageData + y * one_channel->widthStep;for(int x = 0;x < src->width;x++){int temp = ptr[3*x];if (temp != 0)//不是黑色也就是说不是背景{p_one_channel[x] = 255;//设置为白色}else{p_one_channel[x] = 0;}//ptr[3*x]=//ptr[3*x+1]=//ptr[3*x+2]=; }}return one_channel;}int _tmain(int argc, _TCHAR* argv[]){string str_name = "seg_right.bmp";IplImage* src;IplImage* draw = cvLoadImage(str_name.c_str(),1);//绘制重心的图像if ((src = cvLoadImage(str_name.c_str(),1))!=0){//src = binary_image(src);cvNamedWindow( "binary image", 1 );cvShowImage( "binary image", binary_image(src) );}CvPoint xy;aoiGravityCenter(binary_image(src),xy);cout<<xy.x<<endl;cout<<xy.y<<endl;cvCircle(draw,cvPoint(xy.x,xy.y),3,CV_RGB(0,0,255),5);cvNamedWindow( "重心", 1 );cvShowImage( "重心", draw );cvWaitKey(0);return 0;

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