Example #1
0
  /**
   * Determines where captured pieces are
   *
   * @param in Mat image of the board
   */
  public void findCaptured(Mat in) {
    int vsegment = in.rows() / 8; // only accounts 8 playable
    int hsegment = in.cols() / 12; // 8 playable, 2 capture, 2 extra
    int offset; // offset for playable board

    int capSquares = 12; // number of capture squares
    int rowNum = 1; // starting row number for capture squares
    int rightdx = 48;
    int leftdx = 0;
    offset = hsegment;
    int count = 0;
    // keep track of captured squares
    // left: end user, right: system
    for (int i = 0; i < capSquares; i++) {
      // find where roi should be
      Point p1 =
          new Point(
              offset + count * hsegment, rowNum * vsegment); // top left point of rectangle (x,y)
      Point p2 =
          new Point(
              offset + (count + 1) * hsegment,
              (rowNum + 1) * vsegment); // bottom right point of rectangle (x,y)
      // create rectangle that is board square
      Rect bound = new Rect(p1, p2);

      char color;

      // frame only includes rectangle
      Mat roi = new Mat(in, bound);

      // get the color
      color = identifyColor(roi);

      switch (color) {
        case COLOR_BLUE:
          // Imgproc.rectangle(in, p1, p2, new Scalar(255, 0, 0), 3);
          Core.rectangle(in, p1, p2, new Scalar(255, 0, 0), 2);
          captured[i] = 1;
          break;
        case COLOR_ORANGE:
          // Imgproc.rectangle(in, p1, p2, new Scalar(0, 128, 255), 3);
          Core.rectangle(in, p1, p2, new Scalar(0, 128, 255), 2);
          captured[i] = 1;
          break;
        case COLOR_WHITE:
          // Imgproc.rectangle(in, p1, p2, new Scalar(255, 255, 255), 3);
          Core.rectangle(in, p1, p2, new Scalar(255, 255, 255), 2);
          captured[i] = 0;
          break;
        case COLOR_BLACK:
          // Imgproc.rectangle(in, p1, p2, new Scalar(0, 0, 0), 3);
          Core.rectangle(in, p1, p2, new Scalar(255, 255, 255), 2);
          captured[i] = 0;
          break;
      }

      count++;
      if (count == 1) {
        offset = hsegment * 10 - rightdx;
      } else if (count == 2) {
        count = 0;
        rightdx -= 6;
        leftdx += 6;
        offset = hsegment - leftdx;
        rowNum++;
      }
    }
  }
Example #2
0
  public void processWithContours(Mat in, Mat out) {
    int playSquares = 32; // number of playable game board squares

    // keep track of starting row square
    int parity = 0; // 0 is even, 1 is odd, tied to row number
    int count = 0; // row square
    int rowNum = 0; // row number, starting at 0

    int vsegment = in.rows() / 8; // only accounts 8 playable
    int hsegment = in.cols() / 10; // 8 playable, 2 capture
    int hOffset = hsegment * 2; // offset for playable board
    int vOffset = vsegment + 40;

    // For angle of camera
    int dx = 80;
    int ddx = 0;
    hsegment -= 16;

    int dy = 20;
    vsegment -= 24;
    int ddy = 0;

    // Go through all playable squares
    for (int i = 0; i < playSquares; i++) {
      // change offset depending on the row
      if (parity == 0) // playable squares start on 2nd square from left
      {
        if (rowNum >= 5) dx -= 3;
        hOffset = hsegment * 2 + dx;
      } else // playable squares start on immediate left
      {
        if (rowNum >= 5) dx -= 3;
        hOffset = hsegment + dx;
      }

      if (rowNum == 0) ddy = 5;
      if (rowNum == 4) if (count == 6) ddx = 10;
      if (rowNum == 5) {
        if (count == 0) ddx = -6;
        else if (count == 2) ddx = 6;
        else if (count == 4) ddx = 12;
        else if (count == 6) ddx = 20;
      }
      if (rowNum == 6) {
        if (count == 0) ddx = 0;
        else if (count == 2) ddx = 16;
        else if (count == 4) ddx = 32;
        else if (count == 6) ddx = 40;
      }
      if (rowNum == 7) {
        if (count == 0) ddx = 6;
        else if (count == 2) ddx = 24;
        else if (count == 4) ddx = 40;
        else ddx = 52;
      }

      // find where roi should be
      // System.out.println("" + vOffset);
      Point p1 =
          new Point(
              hOffset + count * hsegment + ddx + 5,
              vOffset + rowNum * vsegment - dy - 5 - ddy); // top left point of rectangle (x,y)
      Point p2 =
          new Point(
              hOffset + (count + 1) * hsegment + ddx - 5,
              vOffset
                  + (rowNum + 1) * vsegment
                  - dy
                  - 5
                  - ddy); // bottom right point of rectangle (x,y)

      // create rectangle that is board square
      Rect bound = new Rect(p1, p2);

      Mat roi;
      char color;
      if (i == 0) {
        // frame only includes rectangle
        roi = new Mat(in, bound);

        // get the color
        color = identifyColor(roi);

        // copy input image to output image
        in.copyTo(out);
      } else {
        // frame only includes rectangle
        roi = new Mat(out, bound);

        // get the color
        color = identifyColor(roi);
      }

      Imgproc.cvtColor(roi, roi, Imgproc.COLOR_BGR2GRAY); // change to single color

      Mat canny = new Mat();
      Imgproc.Canny(roi, canny, 20, 40); // make image a canny image that is only edges; 2,4
      // lower threshold values find more edges
      List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
      Mat hierarchy = new Mat(); // holds nested contour information
      Imgproc.findContours(
          canny,
          contours,
          hierarchy,
          Imgproc.RETR_LIST,
          Imgproc.CHAIN_APPROX_SIMPLE); // Imgproc.RETR_LIST, TREE

      System.out.println(++test + "\t" + contours.size());

      if (contours.size() > 3) // or error value for color is below 1
      {
        switch (color) {
          case COLOR_BLUE:
            // Imgproc.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
            Core.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
            board[i] = CheckersBoard.BLACK; // end user's piece
            break;
          case COLOR_ORANGE:
            // Imgproc.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
            Core.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
            board[i] = CheckersBoard.WHITE; // system's piece
            break;
          case COLOR_WHITE:
            // Imgproc.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
            Core.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
            board[i] = CheckersBoard.EMPTY;
            break;
          case COLOR_BLACK: // this is black
            // Imgproc.rectangle(out, p1, p2, new Scalar(0, 0, 0), 2);
            Core.rectangle(
                out,
                p1,
                p2,
                new Scalar(0, 0, 0),
                2); // maybe add 8, 0 as line type and fractional bits
            board[i] = CheckersBoard.EMPTY;
            break;
        }
      }

      System.out.println("in color switch " + board[i]);
      count += 2;
      if (count == 8) {
        parity = ++parity % 2; // change odd or even
        count = 0;
        rowNum++;
        hsegment += 2;
        dx -= 10;
        dy += 10;
        vsegment += 3;
        ddy = 0;
      }
    }
  }
Example #3
0
  /**
   * Identifies the color in the frame
   *
   * @param in the Mat image in the region of interest
   * @return the color
   */
  public char identifyColor(Mat in) {
    // Mat blue = new Mat(in.rows(), in.cols(), CvType.CV_8UC1);
    // Mat green = new Mat(in.rows(), in.cols(), CvType.CV_8UC1);
    // Mat red = new Mat(in.rows(), in.cols(), CvType.CV_8UC1);

    // split the channels of the image
    Mat blue = new Mat(); // default is CV_8UC3
    Mat green = new Mat();
    Mat red = new Mat();
    List<Mat> channels = new ArrayList<Mat>(3);
    Core.split(in, channels);
    blue = channels.get(0); // makes all 3 CV_8UC1
    green = channels.get(1);
    red = channels.get(2);
    // System.out.println(blue.toString());

    // add the intensities
    Mat intensity = new Mat(in.rows(), in.cols(), CvType.CV_32F);
    // Mat mask = new Mat();
    Core.add(blue, green, intensity); // , mask, CvType.CV_32F);
    Core.add(intensity, red, intensity); // , mask, CvType.CV_32F);

    // not sure if correct from here to ...

    Mat inten = new Mat();
    Core.divide(intensity, Scalar.all(3.0), inten);
    // System.out.println(intensity.toString());
    // Core.divide(3.0, intensity, inten);
    // if intensity = intensity / 3.0; means element-wise division
    // use intensity.muls(Mat m)
    // so make new Mat m of same size that has each element of 1/3

    /*
    * or
    * About per-element division you can use Core.divide()

    Core.divide(A,Scalar.all(d), B);

    It's equivalent to B=A/d
    */

    // find normalized values
    Mat bnorm = new Mat();
    Mat gnorm = new Mat();
    Mat rnorm = new Mat();
    // blue.convertTo(blue, CvType.CV_32F);
    // green.convertTo(green, CvType.CV_32F);
    // red.convertTo(red, CvType.CV_32F);

    Core.divide(blue, inten, bnorm);
    Core.divide(green, inten, gnorm);
    Core.divide(red, inten, rnorm);

    // find average norm values
    Scalar val = new Scalar(0);
    val = Core.mean(bnorm);
    String value[] = val.toString().split(",");
    String s = value[0].substring(1);
    double bavg = Double.parseDouble(s);
    val = Core.mean(gnorm);
    String value1[] = val.toString().split(",");
    String s1 = value1[0].substring(1);
    double gavg = Double.parseDouble(s1);
    val = Core.mean(rnorm);
    String value2[] = val.toString().split(",");
    String s2 = value2[0].substring(1);
    double ravg = Double.parseDouble(s2);

    // ... here

    // original values
    /*
    // define the reference color values
    //double RED[] = {0.4, 0.5, 1.8};
    //double GREEN[] = {1.0, 1.2, 1.0};
    double BLUE[] = {1.75, 1.0, 0.5};
    //double YELLOW[] = {0.82, 1.7, 1.7};
    double ORANGE[] = {0.2, 1.0, 2.0};
    double WHITE[] = {2.0, 1.7, 1.7};
    //double BLACK[] = {0.0, 0.3, 0.3};
    */

    // define the reference color values
    // double RED[] = {0.4, 0.5, 1.8};
    // double GREEN[] = {1.0, 1.2, 1.0};
    double BLUE[] = {1.75, 1.0, 0.5};
    // double YELLOW[] = {0.82, 1.7, 1.7};
    double ORANGE[] = {0.2, 1.0, 2.0};
    double WHITE[] = {2.0, 1.7, 1.7};
    // double BLACK[] = {0.0, 0.3, 0.3};

    // compute the square error relative to the reference color values
    // double minError = 3.0;
    double minError = 2.0;
    double errorSqr;
    char bestFit = 'x';

    // test++;
    // System.out.print("\n\n" + test + "\n\n");

    // check BLUE fitness
    errorSqr = normSqr(BLUE[0], BLUE[1], BLUE[2], bavg, gavg, ravg);
    System.out.println("Blue: " + errorSqr);
    if (errorSqr < minError) {
      minError = errorSqr;
      bestFit = COLOR_BLUE;
    }
    // check ORANGE fitness
    errorSqr = normSqr(ORANGE[0], ORANGE[1], ORANGE[2], bavg, gavg, ravg);
    System.out.println("Orange: " + errorSqr);
    if (errorSqr < minError) {
      minError = errorSqr;
      bestFit = COLOR_ORANGE;
    }
    // check WHITE fitness
    errorSqr = normSqr(WHITE[0], WHITE[1], WHITE[2], bavg, gavg, ravg);
    System.out.println("White: " + errorSqr);
    if (errorSqr < minError) {
      minError = errorSqr;
      bestFit = COLOR_WHITE;
    }
    // check BLACK fitness
    /*errorSqr = normSqr(BLACK[0], BLACK[1], BLACK[2], bavg, gavg, ravg);
    System.out.println("Black: " + errorSqr);
    if(errorSqr < minError)
    {
    	minError = errorSqr;
    	bestFit = COLOR_BLACK;
    }*/

    // return the best fit color label
    return bestFit;
  }
Example #4
0
  /**
   * Processes the board image
   *
   * @param in image captured of board
   * @param out processed image of board
   */
  public void processFrame(Mat in, Mat out) {
    // multiple regions of interest

    int playSquares = 32; // number of playable game board squares

    // keep track of starting row square
    int parity = 0; // 0 is even, 1 is odd, tied to row number
    int count = 0; // row square
    int rowNum = 0; // row number, starting at 0

    int vsegment = in.rows() / 8; // only accounts 8 playable
    int hsegment = in.cols() / 10; // 8 playable, 2 capture
    int hOffset = hsegment * 2; // offset for playable board
    int vOffset = vsegment + 40;

    // For angle of camera
    int dx = 80;
    int ddx = 0;
    hsegment -= 16;

    int dy = 20;
    vsegment -= 24;

    // Go through all playable squares
    for (int i = 0; i < playSquares; i++) {
      // change offset depending on the row
      if (parity == 0) // playable squares start on 2nd square from left
      {
        if (rowNum >= 5) dx -= 3;
        hOffset = hsegment * 2 + dx;
      } else // playable squares start on immediate left
      {
        if (rowNum >= 5) dx -= 3;
        hOffset = hsegment + dx;
      }

      if (rowNum == 4) if (count == 6) ddx = 10;
      if (rowNum == 5) {
        if (count == 0) ddx = -6;
        else if (count == 2) ddx = 6;
        else if (count == 4) ddx = 12;
        else if (count == 6) ddx = 20;
      }
      if (rowNum == 6) {
        if (count == 0) ddx = 0;
        else if (count == 2) ddx = 16;
        else if (count == 4) ddx = 32;
        else if (count == 6) ddx = 40;
      }
      if (rowNum == 7) {
        if (count == 0) ddx = 0;
        else if (count == 2) ddx = 24;
        else if (count == 4) ddx = 40;
        else ddx = 52;
      }

      // find where roi should be
      // System.out.println("" + vOffset);
      Point p1 =
          new Point(
              hOffset + count * hsegment + ddx,
              vOffset + rowNum * vsegment - dy); // top left point of rectangle (x,y)
      Point p2 =
          new Point(
              hOffset + (count + 1) * hsegment + ddx,
              vOffset + (rowNum + 1) * vsegment - dy); // bottom right point of rectangle (x,y)

      // create rectangle that is board square
      Rect bound = new Rect(p1, p2);

      char color;
      if (i == 0) {
        // frame only includes rectangle
        Mat roi = new Mat(in, bound);

        // get the color
        color = identifyColor(roi);

        // copy input image to output image
        in.copyTo(out);
      } else {
        // frame only includes rectangle
        Mat roi = new Mat(out, bound);

        // get the color
        color = identifyColor(roi);
      }

      // annotate the output image
      // scalar values as (blue, green, red)
      switch (color) {
        case COLOR_BLUE:
          // Imgproc.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
          Core.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
          board[i] = CheckersBoard.BLACK; // end user's piece
          break;
        case COLOR_ORANGE:
          // Imgproc.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
          Core.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
          board[i] = CheckersBoard.WHITE; // system's piece
          break;
        case COLOR_WHITE:
          // Imgproc.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
          Core.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
          board[i] = CheckersBoard.EMPTY;
          break;
        case COLOR_BLACK: // this is black
          // Imgproc.rectangle(out, p1, p2, new Scalar(0, 0, 0), 2);
          Core.rectangle(
              out,
              p1,
              p2,
              new Scalar(0, 0, 0),
              2); // maybe add 8, 0 as line type and fractional bits
          board[i] = CheckersBoard.EMPTY;
          break;
      }

      count += 2;
      if (count == 8) {
        parity = ++parity % 2; // change odd or even
        count = 0;
        rowNum++;
        hsegment += 2;
        dx -= 10;
        dy += 10;
        vsegment += 3;
      }
    }
  }