Example usage for org.opencv.core Mat cols

Introduction

In this page you can find the example usage for org.opencv.core Mat cols.

Prototype

public int cols() 

Source Link

Usage

From source file:OCV_GetAffineTransform.java

License:Open Source License

@Override
public void run(ImageProcessor ip) {
    MatOfPoint2f matPt_src = new MatOfPoint2f();
    MatOfPoint2f matPt_dst = new MatOfPoint2f();
    matPt_src.fromList(lstPt_src);/*from w ww  .  j a va  2 s. c o  m*/
    matPt_dst.fromList(lstPt_dst);

    Mat mat = Imgproc.getAffineTransform(matPt_src, matPt_dst);

    if (mat == null || mat.rows() <= 0 || mat.cols() <= 0) {
        IJ.showMessage("Output is null or error");
        return;
    }

    ResultsTable rt = OCV__LoadLibrary.GetResultsTable(true);

    for (int i = 0; i < 2; i++) {
        rt.incrementCounter();
        rt.addValue("Column01", String.valueOf(mat.get(i, 0)[0]));
        rt.addValue("Column02", String.valueOf(mat.get(i, 1)[0]));
        rt.addValue("Column03", String.valueOf(mat.get(i, 2)[0]));
    }

    rt.show("Results");
}

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From source file:KoImgProc.java

License:Open Source License

/**
 * Takes a Mat and performs a series of image analysis and filtering steps
 * to detect stones in the image and filter out false circles.
 * @param color /*from  w w w  .  j av a 2  s  .c o m*/
 *             The input Mat to perform analysis on. Must be a 3-channel,
 *             8-bit BGR color image. 
 * @return An array of KoCircle objects that represent stones that were
 *          detected on the board.
 */
public static ArrayList<KoCircle> detectStones(Mat color) {
    // Create 2 Mats we'll need for image processing
    Mat grey = new Mat();
    Mat blurred = new Mat();
    Imgproc.cvtColor(color, grey, Imgproc.COLOR_BGR2GRAY); // Convert to greyscale
    Imgproc.GaussianBlur(grey, grey, new Size(9, 9), 2, 2);
    Imgproc.GaussianBlur(color, blurred, new Size(9, 9), 2, 2);

    int widthInPixels = color.cols();
    //int heightInPixels = color.cols();

    // widthInPixels will be replaced by dimensions from a camera overlay that aligns with the board
    ArrayList<KoCircle> stones = detectStones(grey, widthInPixels / 50, widthInPixels / 30, widthInPixels / 30,
            CANNY_DETECTOR_THRESHOLD_HIGH);
    double aveRadius = getAverageRadius(stones);

    // Calculate more accurate inputs to HoughCircles given the average radius
    int minCircleRadius = (int) (0.9 * aveRadius);
    int maxCircleRadius = (int) (1.1 * aveRadius);
    int minDist = (int) (aveRadius * 1.75);

    stones = detectStones(grey, minCircleRadius, maxCircleRadius, minDist, CANNY_DETECTOR_THRESHOLD_MED);
    TreeMap<String, Double[]> colorData = getColorData(stones, blurred, grey);

    if (VERBOSE) {
        for (String key : colorData.keySet()) {
            Double[] current = colorData.get(key);
            System.out.println("Data for " + key + ":");
            for (int i = 0; i < current.length; i++) {
                System.out.println(current[i]);
            }
        }
    }

    stones = detectStones(grey, minCircleRadius, maxCircleRadius, minDist, CANNY_DETECTOR_THRESHOLD_LOW);

    return filterStones(stones, colorData, aveRadius, grey, blurred);
}

---

From source file:KoImgProc.java

License:Open Source License

/**
 * Detects stones in the given image and returns an array list of KoCircle objects.
 * @param grey greyscale Mat of the board.
 * @param threshold threshold value for HoughCircles
 * @return an ArrayList of KoCircle objects.
 *//*ww w. j  a  v  a2  s.  c om*/
private static ArrayList<KoCircle> detectStones(Mat grey, int minRadius, int maxRadius, int minDist,
        int threshold) {
    Mat stones = new Mat();
    ArrayList<KoCircle> highThresholdStones = new ArrayList<KoCircle>();

    Imgproc.HoughCircles(grey, stones, Imgproc.CV_HOUGH_GRADIENT, DP, minDist, threshold, threshold / 2,
            minRadius, maxRadius);
    for (int i = 0; i < stones.cols(); i++) {
        highThresholdStones.add(new KoCircle(stones.get(0, i)));
    }
    System.out.println(highThresholdStones.size() + " stones detected. minRadius: " + minRadius
            + "\tmaxRadius: " + maxRadius + "\tminDist: " + minDist + "\tthreshold: " + threshold);

    return highThresholdStones;
}

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From source file:MainPyramids.java

public static void main(String[] args) {

    try {/*from w w w. ja  v a 2 s .  c o  m*/

        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.out.println("Verso OPENCV: " + Core.VERSION);

        //pyramids UP

        Mat source = Highgui.imread("D:\\teste.png", Highgui.CV_LOAD_IMAGE_COLOR);

        Mat destinationUp = new Mat(source.rows() * 2, source.cols() * 2, source.type());

        destinationUp = source;

        Imgproc.pyrUp(source, destinationUp, new Size(source.cols() * 2, source.rows() * 2),
                Imgproc.BORDER_DEFAULT);

        Highgui.imwrite("D://pyrUp.jpg", destinationUp);

        //pyramids DOWN

        source = Highgui.imread("D://teste.png", Highgui.CV_LOAD_IMAGE_COLOR);

        Mat destinationDown = new Mat(source.rows() / 2, source.cols() / 2, source.type());

        destinationDown = source;

        Imgproc.pyrDown(source, destinationDown, new Size(source.cols() / 2, source.rows() / 2));

        Highgui.imwrite("pyrDown.jpg", destinationDown);

    } catch (Exception e) {
        System.out.println("Exception: " + e.getMessage());
    }
}

---

From source file:airhockeyjava.detection.PS3EyeFrameGrabber.java

License:Open Source License

/**
 * Convert matrix into an image//from  ww w  .  j  a  va  2 s  .co m
 * 
 * @param m
 *            matrix to be converted
 * @return Converted BufferedImage
 */
private static BufferedImage toBufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
        // System.out.println("3 Channel BufferedImage");
    }
    int bufferSize = m.channels() * m.cols() * m.rows();
    byte[] b = new byte[bufferSize];
    m.get(0, 0, b); // get all the pixels
    BufferedImage image = new BufferedImage(m.cols(), m.rows(), type);
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(b, 0, targetPixels, 0, b.length);
    return image;
}

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From source file:arlocros.Imshow.java

License:Apache License

/**
 * @param opencvImage// w  ww  .ja  va  2s  .co  m
 */
public static void show(Mat opencvImage) {

    Dimension frameSize = new Dimension(opencvImage.rows(), opencvImage.cols());
    if (frame == null) {
        frame = new Imshow("", frameSize.height, frameSize.width);
        frame.Window.setVisible(true);

        frame.Window.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
        if (frame.SizeCustom) {
            Imgproc.resize(opencvImage, opencvImage, new Size(frame.Height, frame.Width));
        }
    }
    BufferedImage bufImage = null;
    try {

        int type = BufferedImage.TYPE_BYTE_GRAY;
        if (opencvImage.channels() > 1) {
            type = BufferedImage.TYPE_3BYTE_BGR;
        }
        int bufferSize = opencvImage.channels() * opencvImage.cols() * opencvImage.rows();
        byte[] b = new byte[bufferSize];
        opencvImage.get(0, 0, b);
        BufferedImage bufferedImage = new BufferedImage(opencvImage.cols(), opencvImage.rows(), type);
        final byte[] targetPixels = ((DataBufferByte) bufferedImage.getRaster().getDataBuffer()).getData();
        System.arraycopy(b, 0, targetPixels, 0, b.length);
        bufImage = bufferedImage;
        frame.image.setImage(bufImage);
        frame.Window.pack();
        frame.label.updateUI();
        //frame.Window.setVisible(true);
    } catch (RuntimeException e) {
        logger.info("Exception while visualizing.", e);
    }
}

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From source file:at.ac.tuwien.caa.docscan.camera.CameraPreview.java

License:Open Source License

public boolean isFrameSame(Mat frame1, Mat frame2) {

    Mat tmp1 = new Mat(frame1.rows(), frame1.cols(), CvType.CV_8UC1);
    Imgproc.cvtColor(frame1, tmp1, Imgproc.COLOR_RGB2GRAY);

    Mat tmp2 = new Mat(frame2.rows(), frame2.cols(), CvType.CV_8UC1);
    Imgproc.cvtColor(frame2, tmp2, Imgproc.COLOR_RGB2GRAY);

    Mat subtractResult = new Mat(frame2.rows(), frame2.cols(), CvType.CV_8UC1);
    Core.absdiff(frame1, frame2, subtractResult);
    Imgproc.threshold(subtractResult, subtractResult, 50, 1, Imgproc.THRESH_BINARY);
    Scalar sumDiff = Core.sumElems(subtractResult);
    double diffRatio = sumDiff.val[0] / (frame1.cols() * frame2.rows());

    return diffRatio < .05;

}

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From source file:at.entenbaer.utils.TPAUtils.java

License:Open Source License

/**
 * Saves a OpenCV Mat to a path inside the TexturePoemApp-Folder in the pictures directory
 * @param mat Image that should be saved
 * @param path path where the image should be saved inside the TexturePoemApp-Folder
 *//*w  w w. j  ava2 s . c  o  m*/
public static void saveMatToBitmap(Mat mat, String path) {
    if (Environment.getExternalStorageState().equals(Environment.MEDIA_MOUNTED)) {
        String galleryPath = Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_PICTURES)
                .toString();
        Log.d("galleryPath", galleryPath);

        Bitmap b = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);

        Utils.matToBitmap(mat, b);

        File album = new File(galleryPath + "/TexturePoemApp");

        if (!album.isDirectory()) {
            album.mkdirs();
        }

        File f = new File(galleryPath + "/TexturePoemApp/" + path);
        try {
            FileOutputStream fo = new FileOutputStream(f);

            b.compress(Bitmap.CompressFormat.JPEG, 100, fo);

            fo.flush();
            fo.close();
        } catch (IOException e) {
            Log.e("IOException", "not saved");

            e.printStackTrace();
        }

    } else {
        Log.d("Env", "not mounted");
    }
}

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From source file:attendance_system_adder.cv.image.java

public BufferedImage Mat2BufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }/*from  ww  w  .j a  v a  2  s .c  om*/
    int bufferSize = m.channels() * m.cols() * m.rows();
    byte[] b = new byte[bufferSize];
    m.get(0, 0, b); // get all the pixels
    BufferedImage image = new BufferedImage(m.cols(), m.rows(), type);
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(b, 0, targetPixels, 0, b.length);
    return image;

}

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From source file:balldetection.BallDetection.java

/**
 * @param args the command line arguments
 * @throws java.io.IOException//ww  w.ja va 2s  .  co  m
 */
public static void main(String[] args) throws IOException {

    /* Set the Nimbus look and feel */
    //<editor-fold defaultstate="collapsed" desc=" Look and feel setting code (optional) ">
    /* If Nimbus (introduced in Java SE 6) is not available, stay with the default look and feel.
     * For details see http://download.oracle.com/javase/tutorial/uiswing/lookandfeel/plaf.html 
     */
    try {
        for (javax.swing.UIManager.LookAndFeelInfo info : javax.swing.UIManager.getInstalledLookAndFeels()) {
            if ("Nimbus".equals(info.getName())) {
                javax.swing.UIManager.setLookAndFeel(info.getClassName());
                break;
            }
        }
    } catch (ClassNotFoundException | InstantiationException | IllegalAccessException
            | javax.swing.UnsupportedLookAndFeelException ex) {
        java.util.logging.Logger.getLogger(CameraWindow.class.getName()).log(java.util.logging.Level.SEVERE,
                null, ex);
    }
    //</editor-fold>

    CameraWindow cWindow = new CameraWindow();
    cWindow.setVisible(true);

    int radius = 0;
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

    //intialization of matrices
    Mat circles = new Mat();
    gray = new Mat();
    hsv = new Mat();
    filter = new Mat();
    dst = new Mat();

    camera = new VideoCapture(0);
    Mat frame = new Mat();
    Webcam.ImagePanel panel = Webcam.createPanel(camera, "src");
    Webcam.ImagePanel panel2 = Webcam.createPanel(camera, "filter");
    Webcam.ImagePanel panel3 = Webcam.createPanel(camera, "dst");

    while (true) {

        camera.read(frame);
        src = frame;

        GaussianBlur(src, src, new Size(3, 3), 2, 2);
        Imgproc.cvtColor(src, hsv, Imgproc.COLOR_BGR2HSV);
        Imgproc.cvtColor(src, gray, Imgproc.COLOR_BGR2GRAY);

        Core.inRange(gray, new Scalar(20, 100, 100), new Scalar(30, 255, 255), gray);
        Core.inRange(hsv, new Scalar(cWindow.get_hLower(), cWindow.get_sLower(), cWindow.get_vLower()),
                new Scalar(cWindow.get_hUpper(), cWindow.get_sUpper(), cWindow.get_vUpper()), filter);

        Core.inRange(src, new Scalar(cWindow.get_hLower(), cWindow.get_sLower(), cWindow.get_vLower()),
                new Scalar(cWindow.get_hUpper(), cWindow.get_sUpper(), cWindow.get_vUpper()), dst);

        double[] temp = hsv.get(hsv.rows() / 2, hsv.cols() / 2);
        System.out.println(temp[0] + ", " + temp[1] + ", " + temp[2] + ", " + radius);
        //System.out.println("Current Distance from ball: " + ((2.5366*radius) - 123.02));

        Imgproc.HoughCircles(filter, circles, CV_HOUGH_GRADIENT, cWindow.get_dp(), filter.rows() / 2,
                cWindow.get_param1(), cWindow.get_param2(), cWindow.get_minCircleSize(),
                cWindow.get_maxCircleSize());

        for (int i = 0; i < circles.cols(); i++) {
            Point center = new Point(Math.round(circles.get(0, i)[0]), Math.round(circles.get(0, i)[1]));
            radius = (int) Math.round(circles.get(0, i)[2]);
            // draw the circle center
            Core.circle(src, center, 3, new Scalar(0, 255, 0), -1, 8, 0);
            // draw the circle outline
            Core.circle(src, center, radius, new Scalar(0, 0, 255), 3, 8, 0);
            //System.out.println("" + circles.get(0,0)[0] + ", " + circles.get(0,0)[1] + ", " + circles.get(0,0)[2]);
        }

        panel.updateImage(toBufferedImage(src));
        panel2.updateImage(toBufferedImage(filter));
        panel3.updateImage(toBufferedImage(dst));
    }
}

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