opencv/javacv: How to iterate over contours for shape identification?

Question

I\'m developing a shape identification project using JavaCV and I have found some OpenCV code to identify U shapes in a particular image. I have tried to convert it into JavaCV

Answer 1

This code work for me and I just put cvSeq=cvSeq.h_next(); line in to the program and remove the for loop add while loop for thet.

    package Beam;
    import com.googlecode.javacpp.Loader;
    import com.googlecode.javacv.CanvasFrame;
    import static com.googlecode.javacpp.Loader.*;
    import static com.googlecode.javacv.cpp.opencv_core.*;
    import static com.googlecode.javacv.cpp.opencv_imgproc.*;
    import static com.googlecode.javacv.cpp.opencv_highgui.*;
    import java.io.File;
    import javax.swing.JFileChooser;

    public class TestBeam2 {
        public static void main(String[] args) {
            JFileChooser f=new JFileChooser();
            int result=f.showOpenDialog(f);//show dialog box to choose files
                File myfile=null;
                String path="";
            if(result==0){
                myfile=f.getSelectedFile();//selected file taken to myfile
                path=myfile.getAbsolutePath();//get the path of the file
            }
            IplImage src = cvLoadImage(path);//hear path is actual path to image
            IplImage grayImage    = IplImage.create(src.width(), src.height(), IPL_DEPTH_8U, 1);
            cvCvtColor(src, grayImage, CV_RGB2GRAY);
            cvThreshold(grayImage, grayImage, 127, 255, CV_THRESH_BINARY);
            CvSeq cvSeq=new CvSeq();
            CvMemStorage memory=CvMemStorage.create();
            cvFindContours(grayImage, memory, cvSeq, Loader.sizeof(CvContour.class), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE);

            while (cvSeq != null && !cvSeq.isNull()) {
                CvRect rect=cvBoundingRect(cvSeq, 0);
                int x=rect.x(),y=rect.y(),h=rect.height(),w=rect.width();
                if (10 < w/h || w/h < 0.1){
                    cvRectangle(src, cvPoint(x, y), cvPoint(x+w, y+h), CvScalar.RED, 1, CV_AA, 0);
                }
                cvSeq=cvSeq.h_next();
            }
            CanvasFrame cnvs=new CanvasFrame("Beam");
            cnvs.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);
            cnvs.showImage(src);
            //cvShowImage("Final ", src);
        }
    }