Program: 11529
Project: 11529
Buggy source:
/** 
 * Find pixels in the adaptive neighbourhood (AN) of a given pixel using region growing method.
 * @param xc          X coordinate of the given pixel
 * @param yc          Y coordinate of the given pixel
 * @param sx0         X coordinate of the pixel at the upper left corner of the source rectangle
 * @param sy0         Y coordinate of the pixel at the upper left corner of the source rectangle
 * @param sw          Width of the source rectangle
 * @param sh          Height of the source rectangle
 * @param data11Real  Data of the 1st diagonal element in coherency matrix for all pixels in source rectangle
 * @param data22Real  Data of the 2nd diagonal element in coherency matrix for all pixels in source rectangle
 * @param data33Real  Data of the 3rd diagonal element in coherency matrix for all pixels in source rectangle
 * @param seed        The initial seed value for AN
 * @param threshold   Threshold used in searching for pixels in AN
 * @param anPixelList List of pixels in AN
 * @return bgPixelList List of pixels rejected in searching for AN pixels
 */
private Pix[] regionGrowing(final int xc,final int yc,final int sx0,final int sy0,final int sw,final int sh,final double[][] data11Real,final double[][] data22Real,final double[][] data33Real,final Seed seed,final double threshold,final List<Pix> anPixelList){
  final int rc=yc - sy0;
  final int cc=xc - sx0;
  final Map<Integer,Boolean> visited=new HashMap<>(anSize + 8);
  final List<Pix> bgPixelList=new ArrayList<>(anSize);
  if (distance(data11Real[rc][cc],data22Real[rc][cc],data33Real[rc][cc],seed) < threshold) {
    visited.put(rc * sw + cc,true);
    anPixelList.add(new Pix(xc,yc));
  }
 else {
    bgPixelList.add(new Pix(xc,yc));
  }
  final List<Pix> front=new ArrayList<>(anSize);
  front.add(new Pix(xc,yc));
  final List<Pix> newfront=new ArrayList<>(anSize);
  final int width=sx0 + sw;
  final int height=sy0 + sh;
  int r, c;
  Integer index;
  while (anPixelList.size() < anSize && !front.isEmpty()) {
    newfront.clear();
    for (    final Pix p : front) {
      final int[] x={p.x - 1,p.x,p.x + 1,p.x - 1,p.x + 1,p.x - 1,p.x,p.x + 1};
      final int[] y={p.y - 1,p.y - 1,p.y - 1,p.y,p.y,p.y + 1,p.y + 1,p.y + 1};
      for (int i=0; i < 8; i++) {
        if (x[i] >= sx0 && x[i] < width && y[i] >= sy0 && y[i] < height) {
          r=y[i] - sy0;
          c=x[i] - sx0;
          index=r * sw + c;
          if (visited.get(index) == null) {
            final Pix newPos=new Pix(x[i],y[i]);
            if (distance(data11Real[r][c],data22Real[r][c],data33Real[r][c],seed) < threshold) {
              visited.put(index,true);
              anPixelList.add(newPos);
              newfront.add(newPos);
            }
 else {
              bgPixelList.add(newPos);
            }
          }
        }
      }
      if (anPixelList.size() > anSize) {
        break;
      }
    }
    front.clear();
    front.addAll(newfront);
  }
  return bgPixelList.toArray(new Pix[bgPixelList.size()]);
}

Fixed version (ground truth):
/** 
 * Find pixels in the adaptive neighbourhood (AN) of a given pixel using region growing method.
 * @param xc          X coordinate of the given pixel
 * @param yc          Y coordinate of the given pixel
 * @param sx0         X coordinate of the pixel at the upper left corner of the source rectangle
 * @param sy0         Y coordinate of the pixel at the upper left corner of the source rectangle
 * @param sw          Width of the source rectangle
 * @param sh          Height of the source rectangle
 * @param data11Real  Data of the 1st diagonal element in coherency matrix for all pixels in source rectangle
 * @param data22Real  Data of the 2nd diagonal element in coherency matrix for all pixels in source rectangle
 * @param data33Real  Data of the 3rd diagonal element in coherency matrix for all pixels in source rectangle
 * @param seed        The initial seed value for AN
 * @param threshold   Threshold used in searching for pixels in AN
 * @param anPixelList List of pixels in AN
 * @return bgPixelList List of pixels rejected in searching for AN pixels
 */
private Pix[] regionGrowing(final int xc,final int yc,final int sx0,final int sy0,final int sw,final int sh,final double[][] data11Real,final double[][] data22Real,final double[][] data33Real,final Seed seed,final double threshold,final List<Pix> anPixelList){
  final int rc=yc - sy0;
  final int cc=xc - sx0;
  final Map<Integer,Boolean> visited=new HashMap<>(anSize + 8);
  final List<Pix> bgPixelList=new ArrayList<>(anSize);
  if (distance(data11Real[rc][cc],data22Real[rc][cc],data33Real[rc][cc],seed) < threshold) {
    anPixelList.add(new Pix(xc,yc));
  }
 else {
    bgPixelList.add(new Pix(xc,yc));
  }
  visited.put(rc * sw + cc,true);
  final List<Pix> front=new ArrayList<>(anSize);
  front.add(new Pix(xc,yc));
  final List<Pix> newfront=new ArrayList<>(anSize);
  final int width=sx0 + sw;
  final int height=sy0 + sh;
  int r, c;
  Integer index;
  while (anPixelList.size() < anSize && !front.isEmpty()) {
    newfront.clear();
    for (    final Pix p : front) {
      final int[] x={p.x - 1,p.x,p.x + 1,p.x - 1,p.x + 1,p.x - 1,p.x,p.x + 1};
      final int[] y={p.y - 1,p.y - 1,p.y - 1,p.y,p.y,p.y + 1,p.y + 1,p.y + 1};
      for (int i=0; i < 8; i++) {
        if (x[i] >= sx0 && x[i] < width && y[i] >= sy0 && y[i] < height) {
          r=y[i] - sy0;
          c=x[i] - sx0;
          index=r * sw + c;
          if (visited.get(index) == null) {
            visited.put(index,true);
            final Pix newPos=new Pix(x[i],y[i]);
            if (distance(data11Real[r][c],data22Real[r][c],data33Real[r][c],seed) < threshold) {
              anPixelList.add(newPos);
              newfront.add(newPos);
            }
 else {
              bgPixelList.add(newPos);
            }
          }
        }
      }
      if (anPixelList.size() > anSize) {
        break;
      }
    }
    front.clear();
    front.addAll(newfront);
  }
  return bgPixelList.toArray(new Pix[bgPixelList.size()]);
}