如何获取javacv中提取的对象的x,y坐标？

目前我正在开发图像处理项目,我正在使用 javacv开发图像处理组件.我能够提取图像的一些有趣的部分,现在我需要读取这些对象的x和y坐标.
这是我提出的形象

我需要识别这些对象,并绘制这些对象的方块.我经历了一些教程,并尝试使用以下代码识别对象.

IplImage img="sourceimage";
    CvSize sz = cvSize(img.width(),img.height());
    IplImage gry=cvCreateImage(sz,img.depth(),1);
    cvCvtColor(img,gry,CV_BGR2GRAY);
    cvThreshold(gry,200,250,CV_THRESH_BINARY);


    CvMemStorage mem = CvMemStorage.create();
    CvSeq contours = new CvSeq();
    CvSeq ptr = new CvSeq();
    cvFindContours(gry,mem,contours,Loader.sizeof(CvContour.class),CV_RETR_CCOMP,CV_CHAIN_APPROX_SIMPLE,cvPoint(0,0));

    CvRect boundbox;

    for (ptr = contours; ptr != null; ptr = ptr.h_next()) {
        boundbox = cvBoundingRect(ptr,0);
        if(boundbox.height()>10||boundbox.height()>10){
            cvRectangle( gry,cvPoint( boundbox.x(),boundbox.y() ),cvPoint( boundbox.x() + boundbox.width(),boundbox.y() + boundbox.height()),CvScalar.BLUE,0 );
            System.out.println(boundbox.x()+","+boundbox.y());
        }
    }
    cvShowImage("contures",gry);
    cvWaitKey(0);

但是它不会在对象周围绘制为矩形.我想知道是否可以使用cvFindContours方法来识别这些对象？请问有人可以解释如何使用javacv / opencv归档我的目标？

解决方法

IplImage img=cvLoadImage("pathtosourceimage");
    CvSize cvSize = cvSize(img.width(),img.height());
    IplImage gry=cvCreateImage(cvSize,255,CV_THRESH_BINARY);
    cvAdaptiveThreshold(gry,CV_ADAPTIVE_THRESH_MEAN_C,CV_THRESH_BINARY_INV,11,5);

    CvMemStorage storage = CvMemStorage.create();
    CvSeq contours = new CvContour(null);

    int noOfContors = cvFindContours(gry,storage,CV_CHAIN_APPROX_NONE,new CvPoint(0,0));

    CvSeq ptr = new CvSeq();

    int count =1;
    CvPoint p1 = new CvPoint(0,0),p2 = new CvPoint(0,0);

    for (ptr = contours; ptr != null; ptr = ptr.h_next()) {

        CvScalar color = CvScalar.BLUE;
        CvRect sq = cvBoundingRect(ptr,0);

            System.out.println("Contour No ="+count);
            System.out.println("X ="+ sq.x()+" Y="+ sq.y());
            System.out.println("Height ="+sq.height()+" Width ="+sq.width());
            System.out.println("");

            p1.x(sq.x());
            p2.x(sq.x()+sq.width());
            p1.y(sq.y());
            p2.y(sq.y()+sq.height());
            cvRectangle(img,p1,p2,CV_RGB(255,2,8,0);
            cvDrawContours(img,ptr,color,CV_RGB(0,-1,CV_FILLED,0));
            count++;

    }

    cvShowImage("contures",img);
    cvWaitKey(0);

这是我给出的给定图像的输出.

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