public void copyMat(Mat src, Mat dest) {
    int srcRows = src.rows();
    int srcCols = src.cols();
    int destRows = dest.rows();
    int destCols = dest.cols();

    for (int i = 0; i < srcRows; i++) {
      for (int j = 0; j < srcCols; j++) {
        double bit = src.get(i, j)[0];
        dest.put(i, j, bit);
        System.out.println(bit);
      }
    }
  }
  public static Mat getCCH(Mat image) {
    ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
    Mat hierarchy = new Mat();
    Imgproc.findContours(
        image, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);

    Mat chainHistogram = Mat.zeros(1, 8, CvType.CV_32F);
    int n = 0;
    MatOfPoint2f approxCurve = new MatOfPoint2f();
    for (MatOfPoint contour : contours) {

      // get the freeman chain code from the contours
      int rows = contour.rows();
      // System.out.println("\nrows"+rows+"\n"+contour.dump());
      int direction = 7;
      Mat prevPoint = contours.get(0).row(0);
      n += rows - 1;
      for (int i = 1; i < rows; i++) {
        // get the current point
        double x1 = contour.get(i - 1, 0)[1];
        double y1 = contour.get(i - 1, 0)[0];

        // get the second point
        double x2 = contour.get(i, 0)[1];
        double y2 = contour.get(i, 0)[0];

        if (x2 == x1 && y2 == y1 + 1) direction = 0;
        else if (x2 == x1 - 1 && y2 == y1 + 1) direction = 1;
        else if (x2 == x1 - 1 && y2 == y1) direction = 2;
        else if (x2 == x1 - 1 && y2 == y1 - 1) direction = 3;
        else if (x2 == x1 && y2 == y1 - 1) direction = 4;
        else if (x2 == x1 + 1 && y2 == y1 - 1) direction = 5;
        else if (x2 == x1 + 1 && y2 == y1) direction = 6;
        else if (x2 == x1 + 1 && y2 == y1 + 1) direction = 7;
        else System.out.print("err");
        double counter = chainHistogram.get(0, direction)[0];
        chainHistogram.put(0, direction, ++counter);
        System.out.print(direction);
      }
    }
    System.out.println("\n" + chainHistogram.dump());
    Scalar alpha = new Scalar(n); // the factor
    Core.divide(chainHistogram, alpha, chainHistogram);
    System.out.println("\nrows=" + n + " " + chainHistogram.dump());
    return chainHistogram;
  }
Ejemplo n.º 3
0
  // Transform the json-type feature to mat-type
  public static Mat json2mat(String json) {

    JsonParser parser = new JsonParser();
    JsonElement parseTree = parser.parse(json);

    // Verify the input is JSON type
    if (!parseTree.isJsonObject()) {
      System.out.println("The input is not a JSON type...\nExiting...");
      System.exit(1);
    }
    JsonObject jobj = parser.parse(json).getAsJsonObject();

    if (jobj == null || !jobj.isJsonObject() || jobj.isJsonNull()) {
      return null;
    }

    // Detect broken/null features
    JsonElement r = jobj.get("rows");
    if (r == null) {
      return null;
    }

    int rows = jobj.get("rows").getAsInt();
    int cols = jobj.get("cols").getAsInt();
    int type = jobj.get("type").getAsInt();
    String data = jobj.get("data").getAsString();
    String[] pixs = data.split(",");

    Mat descriptor = new Mat(rows, cols, type);
    for (String pix : pixs) {
      String[] tmp = pix.split(" ");
      int r_pos = Integer.valueOf(tmp[0]);
      int c_pos = Integer.valueOf(tmp[1]);
      double rgb = Double.valueOf(tmp[2]);
      descriptor.put(r_pos, c_pos, rgb);
    }
    return descriptor;
  }