Example usage for org.opencv.core Mat rows

Introduction

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

Prototype

public int rows() 

Source Link

Usage

From source file:Retrive.java

public Mat histo(Mat imgs) {
    Vector<Mat> bgr_planes = new Vector<>();
    Core.split(imgs, bgr_planes);/*from   w  w w  . ja va2  s.  c om*/

    MatOfInt histSize = new MatOfInt(256);
    final MatOfFloat histRange = new MatOfFloat(0f, 256f);
    boolean accumulate = false;
    Mat b_hist = new Mat();
    int hist_w = 512;
    int hist_h = 600;
    //long bin_w;
    //bin_w = Math.round((double) (hist_w / 256));

    Mat histImage = new Mat(hist_h, hist_w, CvType.CV_8UC3);

    Imgproc.calcHist(bgr_planes, new MatOfInt(0), new Mat(), b_hist, histSize, histRange, accumulate);
    Core.normalize(b_hist, b_hist, 0, histImage.rows(), Core.NORM_MINMAX, -1, new Mat());
    return b_hist;
}

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From source file:MainDilation.java

public static void main(String[] args) {

    try {/*from   w w  w. java2 s .  c  om*/

        //int erosion_size = 5;
        int dilation_size = 5;

        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

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

        Mat destination = new Mat(source.rows(), source.cols(), source.type());

        destination = source;

        Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_RECT,
                new Size(2 * dilation_size + 1, 2 * dilation_size + 1));

        Imgproc.dilate(source, destination, element);

        Highgui.imwrite("D://Dilation.jpg", destination);

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

}

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From source file:MainTextWatermark.java

public static void main(String[] args) {

    try {/*w ww.  j a  va 2  s.c o m*/

        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

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

        Mat destination = new Mat(source.rows(), source.cols(), source.type());

        Core.putText(source, "Tutorialspoint.com by DAC",
                new Point(source.rows() / 2, (source.cols() / 15 * 11)), //Posio do texto na tela
                Core.FONT_HERSHEY_PLAIN, new Double(1.1), new Scalar(150));

        Highgui.imwrite("D://Watermarked.jpg", source);

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

}

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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);/* w  w w  .  ja v  a 2s. 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:OCV_HoughLinesP.java

License:Open Source License

private void showData(Mat lines) {
    // prepare the ResultsTable
    ResultsTable rt = OCV__LoadLibrary.GetResultsTable(true);

    // prepare the ROI Manager
    RoiManager roiMan = null;// w  w w.  ja  va  2  s .  c  om

    if (enAddRoi) {
        roiMan = OCV__LoadLibrary.GetRoiManager(true, true);
    }

    // show
    int num_lines = lines.rows();
    int[] line = new int[4];

    for (int i = 0; i < num_lines; i++) {
        lines.get(i, 0, line);

        int x1 = line[0];
        int y1 = line[1];
        int x2 = line[2];
        int y2 = line[3];

        rt.incrementCounter();
        rt.addValue("x1", x1);
        rt.addValue("y1", y1);
        rt.addValue("x2", x2);
        rt.addValue("y2", y2);

        if (enAddRoi && (roiMan != null)) {
            Line roi = new Line(x1, y1, x2, y2);
            roiMan.addRoi(roi);
        }
    }

    rt.show("Results");
}

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From source file:MainPyramids.java

public static void main(String[] args) {

    try {//from ww 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());
    }
}

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From source file:airhockeyjava.detection.PS3EyeFrameGrabber.java

License:Open Source License

/**
 * Convert matrix into an image//from  www  .j av a  2s. 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.ComputePose.java

License:Apache License

public boolean computePose(Mat rvec, Mat tvec, Mat image2) throws NyARException, FileNotFoundException {
    // convert image to NyAR style for processing
    final INyARRgbRaster imageRaster = NyARImageHelper.createFromMat(image2);

    // create new marker system configuration
    i_config = new NyARMarkerSystemConfig(i_param);
    markerSystemState = new NyARMarkerSystem(i_config);
    // Create wrapper that passes cam pictures to marker system
    cameraSensorWrapper = new NyARSensor(i_screen_size);
    ids = new int[markerPatterns.size()];
    patternmap = new HashMap<>();
    for (int i = 0; i < markerPatterns.size(); i++) {
        // create marker description from pattern file and add to marker
        // system
        ids[i] = markerSystemState.addARMarker(arCodes.get(i), 25, markerConfig.getMarkerSize());
        patternmap.put(ids[i], markerPatterns.get(i));
    }//  w  ww  .j  a  v  a  2 s. com

    cameraSensorWrapper.update(imageRaster);
    markerSystemState.update(cameraSensorWrapper);

    // init 3D point list
    final List<Point3> points3dlist = new ArrayList<>();
    final List<Point> points2dlist = new ArrayList<>();

    for (final int id : ids) {
        // process only if this marker has been detected
        if (markerSystemState.isExistMarker(id) && markerSystemState.getConfidence(id) > 0.7) {
            // read and add 2D points
            final NyARIntPoint2d[] vertex2d = markerSystemState.getMarkerVertex2D(id);
            Point p = new Point(vertex2d[0].x, vertex2d[0].y);
            points2dlist.add(p);
            p = new Point(vertex2d[1].x, vertex2d[2].y);
            points2dlist.add(p);
            p = new Point(vertex2d[2].x, vertex2d[2].y);
            points2dlist.add(p);
            p = new Point(vertex2d[3].x, vertex2d[3].y);
            points2dlist.add(p);

            //            final MatOfPoint mop = new MatOfPoint();
            //            mop.fromList(points2dlist);
            //            final List<MatOfPoint> pts = new ArrayList<>();
            //            pts.add(mop);

            // read and add corresponding 3D points
            points3dlist.addAll(markerConfig.create3dpointlist(patternmap.get(id)));

            if (visualization) {
                // draw red rectangle around detected marker
                Core.rectangle(image2, new Point(vertex2d[0].x, vertex2d[0].y),
                        new Point(vertex2d[2].x, vertex2d[2].y), new Scalar(0, 0, 255));
                final String markerFile = patternmap.get(id).replaceAll(".*4x4_", "").replace(".patt", "");
                Core.putText(image2, markerFile,
                        new Point((vertex2d[2].x + vertex2d[0].x) / 2.0, vertex2d[0].y - 5), 4, 1,
                        new Scalar(250, 0, 0));
            }
        }

    }
    // load 2D and 3D points to Mats for solvePNP
    final MatOfPoint3f objectPoints = new MatOfPoint3f();
    objectPoints.fromList(points3dlist);
    final MatOfPoint2f imagePoints = new MatOfPoint2f();
    imagePoints.fromList(points2dlist);

    if (visualization) {
        // show image with markers detected
        Imshow.show(image2);
    }

    // do not call solvePNP with empty intput data (no markers detected)
    if (points2dlist.size() == 0) {
        objectPoints.release();
        imagePoints.release();
        return false;
    }

    // uncomment these lines if using RANSAC-based pose estimation (more
    // shaking)
    Mat inliers = new Mat();

    Calib3d.solvePnPRansac(objectPoints, imagePoints, cameraMatrix, distCoeffs, rvec, tvec, false, 300, 5, 16,
            inliers, Calib3d.CV_P3P);
    ArMarkerPoseEstimator.getLog()
            .info("Points detected: " + points2dlist.size() + " inliers: " + inliers.size());

    objectPoints.release();
    imagePoints.release();

    // avoid publish zero pose if localization failed
    if (inliers.rows() == 0) {
        inliers.release();
        return false;
    }

    inliers.release();
    return true;
}

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From source file:arlocros.Imshow.java

License:Apache License

/**
 * @param opencvImage//  w  w  w . j  ava  2s . c  o  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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