gistfile1.java

public static int[][] detectVarianceCrossing(int[][] zeroCrossingImgData, int[][] secondOrderDrvImgData, int[][] gaussianImgData) {
  int threshold = 60000;
  int[][] result = new int[zeroCrossingImgData.length][zeroCrossingImgData[0].length];
  for (int x = 0; x < zeroCrossingImgData.length; x++) {
    for (int y = 0; y < zeroCrossingImgData[0].length; y++) {
      int val = zeroCrossingImgData[y][x];
    
      result[y][x] = 0;
    
      if (val == 255) {
        if (x > 0) {
          result[y][x] += Math.pow(secondOrderDrvImgData[y][x] - gaussianImgData[y][x], 2);
        }
        else if (y > 0) {
          result[y][x] += Math.pow(secondOrderDrvImgData[y][x] - gaussianImgData[y][x], 2);
        }
        else if (x > 0 && y > 0) {
          result[y][x] += Math.pow(secondOrderDrvImgData[y][x] - gaussianImgData[y][x], 2);
        }
        else if (x < zeroCrossingImgData.length-1) {
          result[y][x] += Math.pow(secondOrderDrvImgData[y][x] - gaussianImgData[y][x], 2);
        }
        else if (y < zeroCrossingImgData[0].length-1) {
          result[y][x] += Math.pow(secondOrderDrvImgData[y][x] - gaussianImgData[y][x], 2);
        }
        else if (x < zeroCrossingImgData.length-1 && y < zeroCrossingImgData[0].length-1) {
          result[y][x] += Math.pow(secondOrderDrvImgData[y][x] - gaussianImgData[y][x], 2);
        }
        else {
          result[y][x] += 0;
        }
      
        if (result[y][x] < threshold) {
          result[y][x] = 0;
        }
      }
    }
  }
  return result;
}