Ask Your Question

Revision history [back]

HoughLinesP generates an empty image

I'm developing an app wich uses OMR (Optical mark reconize) to read bubblesheets, I'm using the OpenCV API but I'm having some troubbles with HoughLinesP, when I use it that returns an empty image to me. I used the function of Android, Log.e, to see the total, cols and rows of the image before and after the HoughLinesP.

My code is a conversion of a C++ code to Java, both uses OpenCV.

Before I get the following result:

[ORIGINAL IMAGE]: 83840||262||320

After I get the following result:

[LINES IMAGE]: 0||0||1

My code:

private void scanImage(){
    Mat img = Imgcodecs.imread(mediaStorageDir().getPath() + "/" + "test2.jpg", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);

    Log.e("[CANAIS]", String.valueOf(img.channels()));

    Size sz = new Size(3,3);
    Imgproc.GaussianBlur(img, img, sz, 0);
    Imgproc.adaptiveThreshold(img, img, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 75, 10);
    Core.bitwise_not(img, img);

    Mat img2 = new Mat();
    Imgproc.cvtColor(img, img2, Imgproc.COLOR_GRAY2RGB);

    Mat img3 = new Mat();
    Imgproc.cvtColor(img, img3, Imgproc.COLOR_GRAY2RGB);

    MatOfInt4 lines = new MatOfInt4();

    Log.e("[ORIGINAL IMAGE]", "" + img.total() + "||" + img.rows() + "||" + img.cols());

    Imgproc.HoughLinesP(img, lines, 1, Math.PI/180,80,400,10);

    Log.e("[LINES IMAGE]", "" + lines.total() + "||" + lines.rows() + "||" + lines.cols());

    for(int i = 0; i < lines.total(); i++){
        Mat l = new Mat();
        l.put(i, 0, lines.get(i, 0));
        Point pr = new Point();
        Point ps = new Point();
        pr.x = Double.valueOf(l.get(0, 0).toString());
        pr.y = Double.valueOf(l.get(1, 0).toString());

        ps.x = Double.valueOf(l.get(2, 0).toString());
        ps.y = Double.valueOf(l.get(3,0).toString());

        Scalar scalar = new Scalar(0,0,255);

        Imgproc.line(img2, pr, ps, scalar, 3, Imgproc.LINE_AA, 0);
    }

    showImage(img2);
    MatOfInt4 mt4 = new MatOfInt4(lines);
    LinkedList<Point> corners = new LinkedList<>();
    for(int i = 0; i < lines.total(); i++){
        for(int x = i + 1; x <lines.total(); x++){
            MatOfInt4 gen = new MatOfInt4();
            MatOfInt4 gen1 = new MatOfInt4();
            gen1.put(x, 0, mt4.get(x, 0));
            gen.put(i, 0, mt4.get(i, 0));
            Point pt = computeIntersect(gen, gen1);
            if(pt.x >= 0 && pt.y >= 0 && pt.x < img.cols() && pt.y < img.rows()){
                corners.addLast(pt);
            }
        }
    }

    Point center = new Point(0,0);
    MatOfPoint mtp = new MatOfPoint(center);
    for(int i = 0; i < corners.size(); i++){
        center.x += corners.get(i).x;
        center.y += corners.get(i).y;
    }

    center.x *= 1./ corners.size();
    center.y *= 1./ corners.size();

    sortCorners(corners, center);

    Rect r = Imgproc.boundingRect(mtp);
    Log.e("[RECT]", r.toString());

    Mat quad = Mat.zeros(r.height, r.width, CvType.CV_8UC3);
    LinkedList<Point> quad_pts = new LinkedList<>();
    quad_pts.addLast(new Point(0,0));
    quad_pts.addLast(new Point(quad.cols(),0));
    quad_pts.addLast(new Point(quad.cols(),quad.rows()));
    quad_pts.addLast(new Point(0,quad.rows()));

    Mat transmtx = Imgproc.getPerspectiveTransform(Converters.vector_Point2f_to_Mat(corners), Converters.vector_Point2f_to_Mat(quad_pts));
    Imgproc.warpPerspective(img3, quad, transmtx, quad.size());

    showImage(quad);

    Mat cimg = new Mat();

    Imgproc.cvtColor(quad, cimg, Imgproc.COLOR_BGR2GRAY);
    Mat circles = new Mat();
    Imgproc.HoughCircles(cimg, circles, Imgproc.CV_HOUGH_GRADIENT, 1, img.rows()/8, 100, 75, 0,0);
    for(int i=0; i < circles.total(); i++){
        Point center1 = new Point(Math.round(Double.valueOf(circles.get(i, 0).toString())), Math.round(Double.valueOf(circles.get(i, 1).toString())));
        Imgproc.circle(quad, center1, 3, new Scalar(0,255,0), -1,8,0);
    }

    double averR = 0;
    LinkedList<Double> row = new LinkedList<>();
    LinkedList<Double> col = new LinkedList<>();

    for(int i=0; i < circles.total(); i++){
        boolean found = false;
        String rr = String.valueOf(Math.round(Double.valueOf(circles.get(i, 2).toString())));
        int rrr = Integer.valueOf(rr);
        averR += rrr;

        String x = String.valueOf(Math.round(Double.valueOf(circles.get(i, 0).toString())));
        String y = String.valueOf(Math.round(Double.valueOf(circles.get(i, 1).toString())));

        int xx = Integer.valueOf(x);
        int yy = Integer.valueOf(y);

        for(int j=0; j < row.size(); j++){
            double y2 = row.get(j);
            if(yy - rrr < y2 && yy + rrr > y2){
                found =  true;
                break;
            }
        }
        if(!found){
            row.addLast(Double.valueOf(yy));
        }
        found = false;
        for(int j=0; j < col.size(); j++){
            double x2 = col.get(j);
            if(xx - rrr < x2 && xx + rrr > x2){
                found = true;
                break;
            }
        }
        if(!found){
            col.addLast(Double.valueOf(xx));
        }
    }

    averR /= circles.total();

    Collections.sort(row, new Comparator<Double>() {
        @Override
        public int compare(Double o1, Double o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });
    Collections.sort(col, new Comparator<Double>() {
        @Override
        public int compare(Double o1, Double o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });

    for(int i=0;i<row.size();i++){
        double max = 0;
        double y = row.get(i);
        int ind = -1;
        for(int j=0;j<col.size();j++){
            double x = col.get(i);
            Point c = new Point(x,y);

            //Use an actual circle if it exists
            for(int k=0;k<circles.total();k++){
                double x2 = Double.valueOf(circles.get(k, 0).toString());
                double y2 = Double.valueOf(circles.get(k, 1).toString());
                if(abs(y2-y)<averR && abs(x2-x)<averR){
                    x = x2;
                    y = y2;
                }
            }

            // circle outline
            Imgproc.circle( quad, c, Integer.valueOf(String.valueOf(averR)), new Scalar(0,0,255), 3, 8, 0 );
            Rect rect = new Rect(Integer.valueOf(String.valueOf(x-averR)),Integer.valueOf(String.valueOf(y-averR)),Integer.valueOf(String.valueOf(2*averR)),Integer.valueOf(String.valueOf(2*averR)));
            Mat submat = cimg.adjustROI(rect.width, rect.width, rect.height, rect.height);
            double p =(double)countNonZero(submat)/(submat.size().width*submat.size().height);
            if(p>=0.3 && p>max){
                max = p;
                ind = j;
            }
        }
        if(ind==-1)
            Log.e("[N SEI]", "" + i+1);
        else
            Log.e("[NSEI]", "" + i+1 + "A" + ind);
    }

}
private Point computeIntersect(MatOfInt4 a, MatOfInt4 b){
    Point generc = new Point();
    generc.x = -1;
    generc.y = -1;

    int x1 = Integer.valueOf(a.get(0,0).toString());
    int y1 = Integer.valueOf(a.get(0,1).toString());
    int x2 = Integer.valueOf(a.get(0,2).toString());
    int y2 = Integer.valueOf(a.get(0,3).toString());

    int x3 = Integer.valueOf(b.get(0,0).toString());
    int y3 = Integer.valueOf(b.get(0,1).toString());
    int x4 = Integer.valueOf(b.get(0,2).toString());
    int y4 = Integer.valueOf(b.get(0,3).toString());

    float d = 0;

    if(d == ((float)(x1 - x2) * (y3-y4)) - ((y1-y2) * (x3-x4))){
        Point pt = new Point();
        pt.x = ((x1*y2 - y1*x2) * (x3-x4) - (x1-x2) * (x3*y4 - y3*x4)) / d;
        pt.y = ((x1*y2 - y1*x2) * (y3-y4) - (y1-y2) * (x3*y4 - y3*x4)) / d;
        return pt;
    }
    else
        return generc;
}
private void sortCorners(LinkedList<Point> corners, Point center){
    LinkedList<Point> top = new LinkedList<>();
    LinkedList<Point> bot = new LinkedList<>();

    Log.e("[CORNERS SIZE]", String.valueOf(corners.size()));

    for(int i = 0; i < corners.size(); i++){
        if(corners.get(i).y < center.y)
            top.addLast(corners.get(i));
        else
            bot.addLast(corners.get(i));
    }

    Collections.sort(top, new Comparator<Point>() {
        @Override
        public int compare(Point o1, Point o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });
    Collections.sort(bot, new Comparator<Point>() {
        @Override
        public int compare(Point o1, Point o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });

    Log.e("[TOP SIZE]", String.valueOf(top.size()));

    Point t1 = top.get(0);
    Point tr = top.get(top.size() - 1);
    Point b1 = bot.get(0);
    Point br = bot.get(bot.size() - 1);
    corners.clear();
    corners.addLast(t1);
    corners.addLast(tr);
    corners.addLast(br);
    corners.addLast(b1);
}

The C++ code:

    #include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <vector>
#include <algorithm>

//g++ main.cpp -o main -I /usr/local/include/opencv -lopencv_core -lopencv_imgproc -lopencv_highgui

using namespace cv;
using namespace std;


cv::Point2f computeIntersect(cv::Vec4i a, cv::Vec4i b)
{
    int x1 = a[0], y1 = a[1], x2 = a[2], y2 = a[3];
    int x3 = b[0], y3 = b[1], x4 = b[2], y4 = b[3];

    if (float d = ((float)(x1-x2) * (y3-y4)) - ((y1-y2) * (x3-x4)))
    {
        cv::Point2f pt;
        pt.x = ((x1*y2 - y1*x2) * (x3-x4) - (x1-x2) * (x3*y4 - y3*x4)) / d;
        pt.y = ((x1*y2 - y1*x2) * (y3-y4) - (y1-y2) * (x3*y4 - y3*x4)) / d;
        return pt;
    }
    else
        return cv::Point2f(-1, -1);
}

bool comparator2(double a,double b){  
  return a<b;  
 }  
 bool comparator3(Vec3f a,Vec3f b){  
  return a[0]<b[0];  
 }  

bool comparator(Point2f a,Point2f b){  
  return a.x<b.x;  
  }  
 void sortCorners(std::vector<cv::Point2f>& corners, cv::Point2f center)  
 {  


   std::vector<cv::Point2f> top, bot;  
   for (int i = 0; i < corners.size(); i++)  
   {  
     if (corners[i].y < center.y)  
       top.push_back(corners[i]);  
     else  
       bot.push_back(corners[i]);  
   }  


  sort(top.begin(),top.end(),comparator);  
  sort(bot.begin(),bot.end(),comparator); 

   cv::Point2f tl = top[0];  
   cv::Point2f tr = top[top.size()-1];  
   cv::Point2f bl = bot[0];  
   cv::Point2f br = bot[bot.size()-1]; 
   corners.clear();  
   corners.push_back(tl);  
   corners.push_back(tr);  
   corners.push_back(br);  
   corners.push_back(bl);  
 }  


int main(int argc, char* argv[]){

  Mat img = imread("example.jpg",0);

  cv::Size size(3,3);  
  cv::GaussianBlur(img,img,size,0);  
  adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10);  
  cv::bitwise_not(img, img);    

  cv::Mat img2;  
  cvtColor(img,img2, CV_GRAY2RGB);  

  cv::Mat img3;  
  cvtColor(img,img3, CV_GRAY2RGB); 

  vector<Vec4i> lines;  
  HoughLinesP(img, lines, 1, CV_PI/180, 80, 400, 10);  
  for( size_t i = 0; i < lines.size(); i++ )  
  {  
   Vec4i l = lines[i];  
   line( img2, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA);   
  }  

  imshow("example",img2);

  std::vector<cv::Point2f> corners;
  for (int i = 0; i < lines.size(); i++)
  {
      for (int j = i+1; j < lines.size(); j++)
      {
          cv::Point2f pt = computeIntersect(lines[i], lines[j]);
          if (pt.x >= 0 && pt.y >= 0 && pt.x < img.cols && pt.y < img.rows)
              corners.push_back(pt);
      }
  }

   // Get mass center  
  cv::Point2f center(0,0);  
  for (int i = 0; i < corners.size(); i++)  
  center += corners[i];  
  center *= (1. / corners.size()); 

  sortCorners(corners, center); 

  Rect r = boundingRect(corners); 
  cout<<r<<endl;
  cv::Mat quad = cv::Mat::zeros(r.height, r.width, CV_8UC3);  
  // Corners of the destination image  
  std::vector<cv::Point2f> quad_pts;  
  quad_pts.push_back(cv::Point2f(0, 0));  
  quad_pts.push_back(cv::Point2f(quad.cols, 0));  
  quad_pts.push_back(cv::Point2f(quad.cols, quad.rows));  
  quad_pts.push_back(cv::Point2f(0, quad.rows));  

  // Get transformation matrix  
  cv::Mat transmtx = cv::getPerspectiveTransform(corners, quad_pts);  
  // Apply perspective transformation  
  cv::warpPerspective(img3, quad, transmtx, quad.size());  

  imshow("example2",quad);

  Mat cimg;

  cvtColor(quad,cimg, CV_BGR2GRAY);
  vector<Vec3f> circles;  
  HoughCircles(cimg, circles, CV_HOUGH_GRADIENT, 1, img.rows/8, 100, 75, 0, 0 );  
  for( size_t i = 0; i < circles.size(); i++ ){  
    Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
    // circle center  
    circle( quad, center, 3, Scalar(0,255,0), -1, 8, 0 );
  }

  imshow("example4",quad);
  waitKey();

  double averR = 0;
  vector<double> row;
  vector<double> col;

  //Find rows and columns of circles for interpolation
  for(int i=0;i<circles.size();i++){  
    bool found = false;  
    int r = cvRound(circles[i][2]);
    averR += r;
    int x = cvRound(circles[i][0]);  
    int y = cvRound(circles[i][1]);
    for(int j=0;j<row.size();j++){
      double y2 = row[j];
      if(y - r < y2 && y + r > y2){
        found = true;
        break;
      }
    }
    if(!found){
      row.push_back(y);
    }
    found = false;
    for(int j=0;j<col.size();j++){
      double x2 = col[j];
      if(x - r < x2 && x + r > x2){
        found = true;
        break;
      }
    }
    if(!found){  
      col.push_back(x);
    }
  }

  averR /= circles.size();

  sort(row.begin(),row.end(),comparator2);
  sort(col.begin(),col.end(),comparator2);

  for(int i=0;i<row.size();i++){
    double max = 0;  
    double y = row[i];
    int ind = -1;
    for(int j=0;j<col.size();j++){
      double x = col[j];
      Point c(x,y);  

      //Use an actual circle if it exists
      for(int k=0;k<circles.size();k++){
        double x2 = circles[k][0];
        double y2 = circles[k][1];
        if(abs(y2-y)<averR && abs(x2-x)<averR){
          x = x2;
          y = y2;
        }
      }

      // circle outline  
      circle( quad, c, averR, Scalar(0,0,255), 3, 8, 0 );  
      Rect rect(x-averR,y-averR,2*averR,2*averR);  
      Mat submat = cimg(rect);  
      double p =(double)countNonZero(submat)/(submat.size().width*submat.size().height);  
      if(p>=0.3 && p>max){  
        max = p;  
        ind = j;  
      }  
    }
    if(ind==-1)printf("%d:-",i+1);  
    else printf("%d:%c",i+1,'A'+ind);  
    cout<<endl;  
  }  

  // circle outline*/  
  imshow("example3",quad);
  waitKey();
  return 0;
}

When I run the app, I get the following error at this line:

sortCorners(corners, center);

Error:

java.lang.IndexOutOfBoundsException

The image that I'm trying to manipulate:

Example

If anyone could tell me where is the error and how I could arrange it, I will be grateful.

click to hide/show revision 2
retagged

updated 2018-02-14 07:45:50 -0500

berak gravatar image

HoughLinesP generates an empty image

I'm developing an app wich uses OMR (Optical mark reconize) to read bubblesheets, I'm using the OpenCV API but I'm having some troubbles with HoughLinesP, when I use it that returns an empty image to me. I used the function of Android, Log.e, to see the total, cols and rows of the image before and after the HoughLinesP.

My code is a conversion of a C++ code to Java, both uses OpenCV.

Before I get the following result:

[ORIGINAL IMAGE]: 83840||262||320

After I get the following result:

[LINES IMAGE]: 0||0||1

My code:

private void scanImage(){
    Mat img = Imgcodecs.imread(mediaStorageDir().getPath() + "/" + "test2.jpg", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);

    Log.e("[CANAIS]", String.valueOf(img.channels()));

    Size sz = new Size(3,3);
    Imgproc.GaussianBlur(img, img, sz, 0);
    Imgproc.adaptiveThreshold(img, img, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 75, 10);
    Core.bitwise_not(img, img);

    Mat img2 = new Mat();
    Imgproc.cvtColor(img, img2, Imgproc.COLOR_GRAY2RGB);

    Mat img3 = new Mat();
    Imgproc.cvtColor(img, img3, Imgproc.COLOR_GRAY2RGB);

    MatOfInt4 lines = new MatOfInt4();

    Log.e("[ORIGINAL IMAGE]", "" + img.total() + "||" + img.rows() + "||" + img.cols());

    Imgproc.HoughLinesP(img, lines, 1, Math.PI/180,80,400,10);

    Log.e("[LINES IMAGE]", "" + lines.total() + "||" + lines.rows() + "||" + lines.cols());

    for(int i = 0; i < lines.total(); i++){
        Mat l = new Mat();
        l.put(i, 0, lines.get(i, 0));
        Point pr = new Point();
        Point ps = new Point();
        pr.x = Double.valueOf(l.get(0, 0).toString());
        pr.y = Double.valueOf(l.get(1, 0).toString());

        ps.x = Double.valueOf(l.get(2, 0).toString());
        ps.y = Double.valueOf(l.get(3,0).toString());

        Scalar scalar = new Scalar(0,0,255);

        Imgproc.line(img2, pr, ps, scalar, 3, Imgproc.LINE_AA, 0);
    }

    showImage(img2);
    MatOfInt4 mt4 = new MatOfInt4(lines);
    LinkedList<Point> corners = new LinkedList<>();
    for(int i = 0; i < lines.total(); i++){
        for(int x = i + 1; x <lines.total(); x++){
            MatOfInt4 gen = new MatOfInt4();
            MatOfInt4 gen1 = new MatOfInt4();
            gen1.put(x, 0, mt4.get(x, 0));
            gen.put(i, 0, mt4.get(i, 0));
            Point pt = computeIntersect(gen, gen1);
            if(pt.x >= 0 && pt.y >= 0 && pt.x < img.cols() && pt.y < img.rows()){
                corners.addLast(pt);
            }
        }
    }

    Point center = new Point(0,0);
    MatOfPoint mtp = new MatOfPoint(center);
    for(int i = 0; i < corners.size(); i++){
        center.x += corners.get(i).x;
        center.y += corners.get(i).y;
    }

    center.x *= 1./ corners.size();
    center.y *= 1./ corners.size();

    sortCorners(corners, center);

    Rect r = Imgproc.boundingRect(mtp);
    Log.e("[RECT]", r.toString());

    Mat quad = Mat.zeros(r.height, r.width, CvType.CV_8UC3);
    LinkedList<Point> quad_pts = new LinkedList<>();
    quad_pts.addLast(new Point(0,0));
    quad_pts.addLast(new Point(quad.cols(),0));
    quad_pts.addLast(new Point(quad.cols(),quad.rows()));
    quad_pts.addLast(new Point(0,quad.rows()));

    Mat transmtx = Imgproc.getPerspectiveTransform(Converters.vector_Point2f_to_Mat(corners), Converters.vector_Point2f_to_Mat(quad_pts));
    Imgproc.warpPerspective(img3, quad, transmtx, quad.size());

    showImage(quad);

    Mat cimg = new Mat();

    Imgproc.cvtColor(quad, cimg, Imgproc.COLOR_BGR2GRAY);
    Mat circles = new Mat();
    Imgproc.HoughCircles(cimg, circles, Imgproc.CV_HOUGH_GRADIENT, 1, img.rows()/8, 100, 75, 0,0);
    for(int i=0; i < circles.total(); i++){
        Point center1 = new Point(Math.round(Double.valueOf(circles.get(i, 0).toString())), Math.round(Double.valueOf(circles.get(i, 1).toString())));
        Imgproc.circle(quad, center1, 3, new Scalar(0,255,0), -1,8,0);
    }

    double averR = 0;
    LinkedList<Double> row = new LinkedList<>();
    LinkedList<Double> col = new LinkedList<>();

    for(int i=0; i < circles.total(); i++){
        boolean found = false;
        String rr = String.valueOf(Math.round(Double.valueOf(circles.get(i, 2).toString())));
        int rrr = Integer.valueOf(rr);
        averR += rrr;

        String x = String.valueOf(Math.round(Double.valueOf(circles.get(i, 0).toString())));
        String y = String.valueOf(Math.round(Double.valueOf(circles.get(i, 1).toString())));

        int xx = Integer.valueOf(x);
        int yy = Integer.valueOf(y);

        for(int j=0; j < row.size(); j++){
            double y2 = row.get(j);
            if(yy - rrr < y2 && yy + rrr > y2){
                found =  true;
                break;
            }
        }
        if(!found){
            row.addLast(Double.valueOf(yy));
        }
        found = false;
        for(int j=0; j < col.size(); j++){
            double x2 = col.get(j);
            if(xx - rrr < x2 && xx + rrr > x2){
                found = true;
                break;
            }
        }
        if(!found){
            col.addLast(Double.valueOf(xx));
        }
    }

    averR /= circles.total();

    Collections.sort(row, new Comparator<Double>() {
        @Override
        public int compare(Double o1, Double o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });
    Collections.sort(col, new Comparator<Double>() {
        @Override
        public int compare(Double o1, Double o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });

    for(int i=0;i<row.size();i++){
        double max = 0;
        double y = row.get(i);
        int ind = -1;
        for(int j=0;j<col.size();j++){
            double x = col.get(i);
            Point c = new Point(x,y);

            //Use an actual circle if it exists
            for(int k=0;k<circles.total();k++){
                double x2 = Double.valueOf(circles.get(k, 0).toString());
                double y2 = Double.valueOf(circles.get(k, 1).toString());
                if(abs(y2-y)<averR && abs(x2-x)<averR){
                    x = x2;
                    y = y2;
                }
            }

            // circle outline
            Imgproc.circle( quad, c, Integer.valueOf(String.valueOf(averR)), new Scalar(0,0,255), 3, 8, 0 );
            Rect rect = new Rect(Integer.valueOf(String.valueOf(x-averR)),Integer.valueOf(String.valueOf(y-averR)),Integer.valueOf(String.valueOf(2*averR)),Integer.valueOf(String.valueOf(2*averR)));
            Mat submat = cimg.adjustROI(rect.width, rect.width, rect.height, rect.height);
            double p =(double)countNonZero(submat)/(submat.size().width*submat.size().height);
            if(p>=0.3 && p>max){
                max = p;
                ind = j;
            }
        }
        if(ind==-1)
            Log.e("[N SEI]", "" + i+1);
        else
            Log.e("[NSEI]", "" + i+1 + "A" + ind);
    }

}
private Point computeIntersect(MatOfInt4 a, MatOfInt4 b){
    Point generc = new Point();
    generc.x = -1;
    generc.y = -1;

    int x1 = Integer.valueOf(a.get(0,0).toString());
    int y1 = Integer.valueOf(a.get(0,1).toString());
    int x2 = Integer.valueOf(a.get(0,2).toString());
    int y2 = Integer.valueOf(a.get(0,3).toString());

    int x3 = Integer.valueOf(b.get(0,0).toString());
    int y3 = Integer.valueOf(b.get(0,1).toString());
    int x4 = Integer.valueOf(b.get(0,2).toString());
    int y4 = Integer.valueOf(b.get(0,3).toString());

    float d = 0;

    if(d == ((float)(x1 - x2) * (y3-y4)) - ((y1-y2) * (x3-x4))){
        Point pt = new Point();
        pt.x = ((x1*y2 - y1*x2) * (x3-x4) - (x1-x2) * (x3*y4 - y3*x4)) / d;
        pt.y = ((x1*y2 - y1*x2) * (y3-y4) - (y1-y2) * (x3*y4 - y3*x4)) / d;
        return pt;
    }
    else
        return generc;
}
private void sortCorners(LinkedList<Point> corners, Point center){
    LinkedList<Point> top = new LinkedList<>();
    LinkedList<Point> bot = new LinkedList<>();

    Log.e("[CORNERS SIZE]", String.valueOf(corners.size()));

    for(int i = 0; i < corners.size(); i++){
        if(corners.get(i).y < center.y)
            top.addLast(corners.get(i));
        else
            bot.addLast(corners.get(i));
    }

    Collections.sort(top, new Comparator<Point>() {
        @Override
        public int compare(Point o1, Point o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });
    Collections.sort(bot, new Comparator<Point>() {
        @Override
        public int compare(Point o1, Point o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });

    Log.e("[TOP SIZE]", String.valueOf(top.size()));

    Point t1 = top.get(0);
    Point tr = top.get(top.size() - 1);
    Point b1 = bot.get(0);
    Point br = bot.get(bot.size() - 1);
    corners.clear();
    corners.addLast(t1);
    corners.addLast(tr);
    corners.addLast(br);
    corners.addLast(b1);
}

The C++ code:

    #include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <vector>
#include <algorithm>

//g++ main.cpp -o main -I /usr/local/include/opencv -lopencv_core -lopencv_imgproc -lopencv_highgui

using namespace cv;
using namespace std;


cv::Point2f computeIntersect(cv::Vec4i a, cv::Vec4i b)
{
    int x1 = a[0], y1 = a[1], x2 = a[2], y2 = a[3];
    int x3 = b[0], y3 = b[1], x4 = b[2], y4 = b[3];

    if (float d = ((float)(x1-x2) * (y3-y4)) - ((y1-y2) * (x3-x4)))
    {
        cv::Point2f pt;
        pt.x = ((x1*y2 - y1*x2) * (x3-x4) - (x1-x2) * (x3*y4 - y3*x4)) / d;
        pt.y = ((x1*y2 - y1*x2) * (y3-y4) - (y1-y2) * (x3*y4 - y3*x4)) / d;
        return pt;
    }
    else
        return cv::Point2f(-1, -1);
}

bool comparator2(double a,double b){  
  return a<b;  
 }  
 bool comparator3(Vec3f a,Vec3f b){  
  return a[0]<b[0];  
 }  

bool comparator(Point2f a,Point2f b){  
  return a.x<b.x;  
  }  
 void sortCorners(std::vector<cv::Point2f>& corners, cv::Point2f center)  
 {  


   std::vector<cv::Point2f> top, bot;  
   for (int i = 0; i < corners.size(); i++)  
   {  
     if (corners[i].y < center.y)  
       top.push_back(corners[i]);  
     else  
       bot.push_back(corners[i]);  
   }  


  sort(top.begin(),top.end(),comparator);  
  sort(bot.begin(),bot.end(),comparator); 

   cv::Point2f tl = top[0];  
   cv::Point2f tr = top[top.size()-1];  
   cv::Point2f bl = bot[0];  
   cv::Point2f br = bot[bot.size()-1]; 
   corners.clear();  
   corners.push_back(tl);  
   corners.push_back(tr);  
   corners.push_back(br);  
   corners.push_back(bl);  
 }  


int main(int argc, char* argv[]){

  Mat img = imread("example.jpg",0);

  cv::Size size(3,3);  
  cv::GaussianBlur(img,img,size,0);  
  adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10);  
  cv::bitwise_not(img, img);    

  cv::Mat img2;  
  cvtColor(img,img2, CV_GRAY2RGB);  

  cv::Mat img3;  
  cvtColor(img,img3, CV_GRAY2RGB); 

  vector<Vec4i> lines;  
  HoughLinesP(img, lines, 1, CV_PI/180, 80, 400, 10);  
  for( size_t i = 0; i < lines.size(); i++ )  
  {  
   Vec4i l = lines[i];  
   line( img2, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA);   
  }  

  imshow("example",img2);

  std::vector<cv::Point2f> corners;
  for (int i = 0; i < lines.size(); i++)
  {
      for (int j = i+1; j < lines.size(); j++)
      {
          cv::Point2f pt = computeIntersect(lines[i], lines[j]);
          if (pt.x >= 0 && pt.y >= 0 && pt.x < img.cols && pt.y < img.rows)
              corners.push_back(pt);
      }
  }

   // Get mass center  
  cv::Point2f center(0,0);  
  for (int i = 0; i < corners.size(); i++)  
  center += corners[i];  
  center *= (1. / corners.size()); 

  sortCorners(corners, center); 

  Rect r = boundingRect(corners); 
  cout<<r<<endl;
  cv::Mat quad = cv::Mat::zeros(r.height, r.width, CV_8UC3);  
  // Corners of the destination image  
  std::vector<cv::Point2f> quad_pts;  
  quad_pts.push_back(cv::Point2f(0, 0));  
  quad_pts.push_back(cv::Point2f(quad.cols, 0));  
  quad_pts.push_back(cv::Point2f(quad.cols, quad.rows));  
  quad_pts.push_back(cv::Point2f(0, quad.rows));  

  // Get transformation matrix  
  cv::Mat transmtx = cv::getPerspectiveTransform(corners, quad_pts);  
  // Apply perspective transformation  
  cv::warpPerspective(img3, quad, transmtx, quad.size());  

  imshow("example2",quad);

  Mat cimg;

  cvtColor(quad,cimg, CV_BGR2GRAY);
  vector<Vec3f> circles;  
  HoughCircles(cimg, circles, CV_HOUGH_GRADIENT, 1, img.rows/8, 100, 75, 0, 0 );  
  for( size_t i = 0; i < circles.size(); i++ ){  
    Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
    // circle center  
    circle( quad, center, 3, Scalar(0,255,0), -1, 8, 0 );
  }

  imshow("example4",quad);
  waitKey();

  double averR = 0;
  vector<double> row;
  vector<double> col;

  //Find rows and columns of circles for interpolation
  for(int i=0;i<circles.size();i++){  
    bool found = false;  
    int r = cvRound(circles[i][2]);
    averR += r;
    int x = cvRound(circles[i][0]);  
    int y = cvRound(circles[i][1]);
    for(int j=0;j<row.size();j++){
      double y2 = row[j];
      if(y - r < y2 && y + r > y2){
        found = true;
        break;
      }
    }
    if(!found){
      row.push_back(y);
    }
    found = false;
    for(int j=0;j<col.size();j++){
      double x2 = col[j];
      if(x - r < x2 && x + r > x2){
        found = true;
        break;
      }
    }
    if(!found){  
      col.push_back(x);
    }
  }

  averR /= circles.size();

  sort(row.begin(),row.end(),comparator2);
  sort(col.begin(),col.end(),comparator2);

  for(int i=0;i<row.size();i++){
    double max = 0;  
    double y = row[i];
    int ind = -1;
    for(int j=0;j<col.size();j++){
      double x = col[j];
      Point c(x,y);  

      //Use an actual circle if it exists
      for(int k=0;k<circles.size();k++){
        double x2 = circles[k][0];
        double y2 = circles[k][1];
        if(abs(y2-y)<averR && abs(x2-x)<averR){
          x = x2;
          y = y2;
        }
      }

      // circle outline  
      circle( quad, c, averR, Scalar(0,0,255), 3, 8, 0 );  
      Rect rect(x-averR,y-averR,2*averR,2*averR);  
      Mat submat = cimg(rect);  
      double p =(double)countNonZero(submat)/(submat.size().width*submat.size().height);  
      if(p>=0.3 && p>max){  
        max = p;  
        ind = j;  
      }  
    }
    if(ind==-1)printf("%d:-",i+1);  
    else printf("%d:%c",i+1,'A'+ind);  
    cout<<endl;  
  }  

  // circle outline*/  
  imshow("example3",quad);
  waitKey();
  return 0;
}

When I run the app, I get the following error at this line:

sortCorners(corners, center);

Error:

java.lang.IndexOutOfBoundsException

The image that I'm trying to manipulate:

Example

If anyone could tell me where is the error and how I could arrange it, I will be grateful.

HoughLinesP generates an empty image

I'm developing an app wich uses OMR (Optical mark reconize) to read bubblesheets, I'm using the OpenCV API but I'm having some troubbles with HoughLinesP, when I use it that returns an empty image to me. I used the function of Android, Log.e, to see the total, cols and rows of the image before and after the HoughLinesP.

My code is a conversion of a C++ code to Java, both uses OpenCV.

Before I get the following result:

[ORIGINAL IMAGE]: 83840||262||320

After I get the following result:

[LINES IMAGE]: 0||0||1

My code:

private void scanImage(){
    Mat img = Imgcodecs.imread(mediaStorageDir().getPath() + "/" + "test2.jpg", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);

    Log.e("[CANAIS]", String.valueOf(img.channels()));

    Size sz = new Size(3,3);
    Imgproc.GaussianBlur(img, img, sz, 0);
    Imgproc.adaptiveThreshold(img, img, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 75, 10);
    Core.bitwise_not(img, img);

    Mat img2 = new Mat();
    Imgproc.cvtColor(img, img2, Imgproc.COLOR_GRAY2RGB);

    Mat img3 = new Mat();
    Imgproc.cvtColor(img, img3, Imgproc.COLOR_GRAY2RGB);

    MatOfInt4 lines = new MatOfInt4();

    Log.e("[ORIGINAL IMAGE]", "" + img.total() + "||" + img.rows() + "||" + img.cols());

    Imgproc.HoughLinesP(img, lines, 1, Math.PI/180,80,400,10);

    Log.e("[LINES IMAGE]", "" + lines.total() + "||" + lines.rows() + "||" + lines.cols());

    for(int i = 0; i < lines.total(); i++){
        Mat l = new Mat();
        l.put(i, 0, lines.get(i, 0));
        Point pr = new Point();
        Point ps = new Point();
        pr.x = Double.valueOf(l.get(0, 0).toString());
        pr.y = Double.valueOf(l.get(1, 0).toString());

        ps.x = Double.valueOf(l.get(2, 0).toString());
        ps.y = Double.valueOf(l.get(3,0).toString());

        Scalar scalar = new Scalar(0,0,255);

        Imgproc.line(img2, pr, ps, scalar, 3, Imgproc.LINE_AA, 0);
    }

    showImage(img2);
    MatOfInt4 mt4 = new MatOfInt4(lines);
    LinkedList<Point> corners = new LinkedList<>();
    for(int i = 0; i < lines.total(); i++){
        for(int x = i + 1; x <lines.total(); x++){
            MatOfInt4 gen = new MatOfInt4();
            MatOfInt4 gen1 = new MatOfInt4();
            gen1.put(x, 0, mt4.get(x, 0));
            gen.put(i, 0, mt4.get(i, 0));
            Point pt = computeIntersect(gen, gen1);
            if(pt.x >= 0 && pt.y >= 0 && pt.x < img.cols() && pt.y < img.rows()){
                corners.addLast(pt);
            }
        }
    }

    Point center = new Point(0,0);
    MatOfPoint mtp = new MatOfPoint(center);
    for(int i = 0; i < corners.size(); i++){
        center.x += corners.get(i).x;
        center.y += corners.get(i).y;
    }

    center.x *= 1./ corners.size();
    center.y *= 1./ corners.size();

    sortCorners(corners, center);

    Rect r = Imgproc.boundingRect(mtp);
    Log.e("[RECT]", r.toString());

    Mat quad = Mat.zeros(r.height, r.width, CvType.CV_8UC3);
    LinkedList<Point> quad_pts = new LinkedList<>();
    quad_pts.addLast(new Point(0,0));
    quad_pts.addLast(new Point(quad.cols(),0));
    quad_pts.addLast(new Point(quad.cols(),quad.rows()));
    quad_pts.addLast(new Point(0,quad.rows()));

    Mat transmtx = Imgproc.getPerspectiveTransform(Converters.vector_Point2f_to_Mat(corners), Converters.vector_Point2f_to_Mat(quad_pts));
    Imgproc.warpPerspective(img3, quad, transmtx, quad.size());

    showImage(quad);

    Mat cimg = new Mat();

    Imgproc.cvtColor(quad, cimg, Imgproc.COLOR_BGR2GRAY);
    Mat circles = new Mat();
    Imgproc.HoughCircles(cimg, circles, Imgproc.CV_HOUGH_GRADIENT, 1, img.rows()/8, 100, 75, 0,0);
    for(int i=0; i < circles.total(); i++){
        Point center1 = new Point(Math.round(Double.valueOf(circles.get(i, 0).toString())), Math.round(Double.valueOf(circles.get(i, 1).toString())));
        Imgproc.circle(quad, center1, 3, new Scalar(0,255,0), -1,8,0);
    }

    double averR = 0;
    LinkedList<Double> row = new LinkedList<>();
    LinkedList<Double> col = new LinkedList<>();

    for(int i=0; i < circles.total(); i++){
        boolean found = false;
        String rr = String.valueOf(Math.round(Double.valueOf(circles.get(i, 2).toString())));
        int rrr = Integer.valueOf(rr);
        averR += rrr;

        String x = String.valueOf(Math.round(Double.valueOf(circles.get(i, 0).toString())));
        String y = String.valueOf(Math.round(Double.valueOf(circles.get(i, 1).toString())));

        int xx = Integer.valueOf(x);
        int yy = Integer.valueOf(y);

        for(int j=0; j < row.size(); j++){
            double y2 = row.get(j);
            if(yy - rrr < y2 && yy + rrr > y2){
                found =  true;
                break;
            }
        }
        if(!found){
            row.addLast(Double.valueOf(yy));
        }
        found = false;
        for(int j=0; j < col.size(); j++){
            double x2 = col.get(j);
            if(xx - rrr < x2 && xx + rrr > x2){
                found = true;
                break;
            }
        }
        if(!found){
            col.addLast(Double.valueOf(xx));
        }
    }

    averR /= circles.total();

    Collections.sort(row, new Comparator<Double>() {
        @Override
        public int compare(Double o1, Double o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });
    Collections.sort(col, new Comparator<Double>() {
        @Override
        public int compare(Double o1, Double o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });

    for(int i=0;i<row.size();i++){
        double max = 0;
        double y = row.get(i);
        int ind = -1;
        for(int j=0;j<col.size();j++){
            double x = col.get(i);
            Point c = new Point(x,y);

            //Use an actual circle if it exists
            for(int k=0;k<circles.total();k++){
                double x2 = Double.valueOf(circles.get(k, 0).toString());
                double y2 = Double.valueOf(circles.get(k, 1).toString());
                if(abs(y2-y)<averR && abs(x2-x)<averR){
                    x = x2;
                    y = y2;
                }
            }

            // circle outline
            Imgproc.circle( quad, c, Integer.valueOf(String.valueOf(averR)), new Scalar(0,0,255), 3, 8, 0 );
            Rect rect = new Rect(Integer.valueOf(String.valueOf(x-averR)),Integer.valueOf(String.valueOf(y-averR)),Integer.valueOf(String.valueOf(2*averR)),Integer.valueOf(String.valueOf(2*averR)));
            Mat submat = cimg.adjustROI(rect.width, rect.width, rect.height, rect.height);
            double p =(double)countNonZero(submat)/(submat.size().width*submat.size().height);
            if(p>=0.3 && p>max){
                max = p;
                ind = j;
            }
        }
        if(ind==-1)
            Log.e("[N SEI]", "" + i+1);
        else
            Log.e("[NSEI]", "" + i+1 + "A" + ind);
    }

}
private Point computeIntersect(MatOfInt4 a, MatOfInt4 b){
    Point generc = new Point();
    generc.x = -1;
    generc.y = -1;

    int x1 = Integer.valueOf(a.get(0,0).toString());
    int y1 = Integer.valueOf(a.get(0,1).toString());
    int x2 = Integer.valueOf(a.get(0,2).toString());
    int y2 = Integer.valueOf(a.get(0,3).toString());

    int x3 = Integer.valueOf(b.get(0,0).toString());
    int y3 = Integer.valueOf(b.get(0,1).toString());
    int x4 = Integer.valueOf(b.get(0,2).toString());
    int y4 = Integer.valueOf(b.get(0,3).toString());

    float d = 0;

    if(d == ((float)(x1 - x2) * (y3-y4)) - ((y1-y2) * (x3-x4))){
        Point pt = new Point();
        pt.x = ((x1*y2 - y1*x2) * (x3-x4) - (x1-x2) * (x3*y4 - y3*x4)) / d;
        pt.y = ((x1*y2 - y1*x2) * (y3-y4) - (y1-y2) * (x3*y4 - y3*x4)) / d;
        return pt;
    }
    else
        return generc;
}
private void sortCorners(LinkedList<Point> corners, Point center){
    LinkedList<Point> top = new LinkedList<>();
    LinkedList<Point> bot = new LinkedList<>();

    Log.e("[CORNERS SIZE]", String.valueOf(corners.size()));

    for(int i = 0; i < corners.size(); i++){
        if(corners.get(i).y < center.y)
            top.addLast(corners.get(i));
        else
            bot.addLast(corners.get(i));
    }

    Collections.sort(top, new Comparator<Point>() {
        @Override
        public int compare(Point o1, Point o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });
    Collections.sort(bot, new Comparator<Point>() {
        @Override
        public int compare(Point o1, Point o2) {
            return Collator.getInstance().compare(o1, o2);
        }
    });

    Log.e("[TOP SIZE]", String.valueOf(top.size()));

    Point t1 = top.get(0);
    Point tr = top.get(top.size() - 1);
    Point b1 = bot.get(0);
    Point br = bot.get(bot.size() - 1);
    corners.clear();
    corners.addLast(t1);
    corners.addLast(tr);
    corners.addLast(br);
    corners.addLast(b1);
}

The C++ code:

    #include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <vector>
#include <algorithm>

//g++ main.cpp -o main -I /usr/local/include/opencv -lopencv_core -lopencv_imgproc -lopencv_highgui

using namespace cv;
using namespace std;


cv::Point2f computeIntersect(cv::Vec4i a, cv::Vec4i b)
{
    int x1 = a[0], y1 = a[1], x2 = a[2], y2 = a[3];
    int x3 = b[0], y3 = b[1], x4 = b[2], y4 = b[3];

    if (float d = ((float)(x1-x2) * (y3-y4)) - ((y1-y2) * (x3-x4)))
    {
        cv::Point2f pt;
        pt.x = ((x1*y2 - y1*x2) * (x3-x4) - (x1-x2) * (x3*y4 - y3*x4)) / d;
        pt.y = ((x1*y2 - y1*x2) * (y3-y4) - (y1-y2) * (x3*y4 - y3*x4)) / d;
        return pt;
    }
    else
        return cv::Point2f(-1, -1);
}

bool comparator2(double a,double b){  
  return a<b;  
 }  
 bool comparator3(Vec3f a,Vec3f b){  
  return a[0]<b[0];  
 }  

bool comparator(Point2f a,Point2f b){  
  return a.x<b.x;  
  }  
 void sortCorners(std::vector<cv::Point2f>& corners, cv::Point2f center)  
 {  


   std::vector<cv::Point2f> top, bot;  
   for (int i = 0; i < corners.size(); i++)  
   {  
     if (corners[i].y < center.y)  
       top.push_back(corners[i]);  
     else  
       bot.push_back(corners[i]);  
   }  


  sort(top.begin(),top.end(),comparator);  
  sort(bot.begin(),bot.end(),comparator); 

   cv::Point2f tl = top[0];  
   cv::Point2f tr = top[top.size()-1];  
   cv::Point2f bl = bot[0];  
   cv::Point2f br = bot[bot.size()-1]; 
   corners.clear();  
   corners.push_back(tl);  
   corners.push_back(tr);  
   corners.push_back(br);  
   corners.push_back(bl);  
 }  


int main(int argc, char* argv[]){

  Mat img = imread("example.jpg",0);

  cv::Size size(3,3);  
  cv::GaussianBlur(img,img,size,0);  
  adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10);  
  cv::bitwise_not(img, img);    

  cv::Mat img2;  
  cvtColor(img,img2, CV_GRAY2RGB);  

  cv::Mat img3;  
  cvtColor(img,img3, CV_GRAY2RGB); 

  vector<Vec4i> lines;  
  HoughLinesP(img, lines, 1, CV_PI/180, 80, 400, 10);  
  for( size_t i = 0; i < lines.size(); i++ )  
  {  
   Vec4i l = lines[i];  
   line( img2, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA);   
  }  

  imshow("example",img2);

  std::vector<cv::Point2f> corners;
  for (int i = 0; i < lines.size(); i++)
  {
      for (int j = i+1; j < lines.size(); j++)
      {
          cv::Point2f pt = computeIntersect(lines[i], lines[j]);
          if (pt.x >= 0 && pt.y >= 0 && pt.x < img.cols && pt.y < img.rows)
              corners.push_back(pt);
      }
  }

   // Get mass center  
  cv::Point2f center(0,0);  
  for (int i = 0; i < corners.size(); i++)  
  center += corners[i];  
  center *= (1. / corners.size()); 

  sortCorners(corners, center); 

  Rect r = boundingRect(corners); 
  cout<<r<<endl;
  cv::Mat quad = cv::Mat::zeros(r.height, r.width, CV_8UC3);  
  // Corners of the destination image  
  std::vector<cv::Point2f> quad_pts;  
  quad_pts.push_back(cv::Point2f(0, 0));  
  quad_pts.push_back(cv::Point2f(quad.cols, 0));  
  quad_pts.push_back(cv::Point2f(quad.cols, quad.rows));  
  quad_pts.push_back(cv::Point2f(0, quad.rows));  

  // Get transformation matrix  
  cv::Mat transmtx = cv::getPerspectiveTransform(corners, quad_pts);  
  // Apply perspective transformation  
  cv::warpPerspective(img3, quad, transmtx, quad.size());  

  imshow("example2",quad);

  Mat cimg;

  cvtColor(quad,cimg, CV_BGR2GRAY);
  vector<Vec3f> circles;  
  HoughCircles(cimg, circles, CV_HOUGH_GRADIENT, 1, img.rows/8, 100, 75, 0, 0 );  
  for( size_t i = 0; i < circles.size(); i++ ){  
    Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
    // circle center  
    circle( quad, center, 3, Scalar(0,255,0), -1, 8, 0 );
  }

  imshow("example4",quad);
  waitKey();

  double averR = 0;
  vector<double> row;
  vector<double> col;

  //Find rows and columns of circles for interpolation
  for(int i=0;i<circles.size();i++){  
    bool found = false;  
    int r = cvRound(circles[i][2]);
    averR += r;
    int x = cvRound(circles[i][0]);  
    int y = cvRound(circles[i][1]);
    for(int j=0;j<row.size();j++){
      double y2 = row[j];
      if(y - r < y2 && y + r > y2){
        found = true;
        break;
      }
    }
    if(!found){
      row.push_back(y);
    }
    found = false;
    for(int j=0;j<col.size();j++){
      double x2 = col[j];
      if(x - r < x2 && x + r > x2){
        found = true;
        break;
      }
    }
    if(!found){  
      col.push_back(x);
    }
  }

  averR /= circles.size();

  sort(row.begin(),row.end(),comparator2);
  sort(col.begin(),col.end(),comparator2);

  for(int i=0;i<row.size();i++){
    double max = 0;  
    double y = row[i];
    int ind = -1;
    for(int j=0;j<col.size();j++){
      double x = col[j];
      Point c(x,y);  

      //Use an actual circle if it exists
      for(int k=0;k<circles.size();k++){
        double x2 = circles[k][0];
        double y2 = circles[k][1];
        if(abs(y2-y)<averR && abs(x2-x)<averR){
          x = x2;
          y = y2;
        }
      }

      // circle outline  
      circle( quad, c, averR, Scalar(0,0,255), 3, 8, 0 );  
      Rect rect(x-averR,y-averR,2*averR,2*averR);  
      Mat submat = cimg(rect);  
      double p =(double)countNonZero(submat)/(submat.size().width*submat.size().height);  
      if(p>=0.3 && p>max){  
        max = p;  
        ind = j;  
      }  
    }
    if(ind==-1)printf("%d:-",i+1);  
    else printf("%d:%c",i+1,'A'+ind);  
    cout<<endl;  
  }  

  // circle outline*/  
  imshow("example3",quad);
  waitKey();
  return 0;
}

When I run the app, I get the following error at this line:

sortCorners(corners, center);

Error:

java.lang.IndexOutOfBoundsException

The image that I'm trying to manipulate:

Example

If anyone could tell me where is the error and how I could arrange it, I will be grateful.