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:de.vion.eyetracking.cameracalib.calibration.opencv.CameraCalibrator.java

private void renderFrame(Mat rgbaFrame) {
    drawPoints(rgbaFrame);/*from w ww. jav  a  2s. c o m*/

    Core.putText(rgbaFrame, "Captured: " + this.mCornersBuffer.size(),
            new Point(rgbaFrame.cols() / 3 * 2, rgbaFrame.rows() * 0.1), Core.FONT_HERSHEY_SIMPLEX, 1.0,
            new Scalar(255, 255, 0));
}

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From source file:depthDataFromStereoCamsOpenCV.ProcessImages.java

/**
 * /*  w w  w.  j a v a  2  s.c o m*/
 * @param image
 * @return
 */
public static Mat bringImageToStdSize(Mat image) {
    //create the square container
    int dstWidth = 300;
    int dstHeight = 500;
    Mat dst = new Mat(dstHeight, dstWidth, CvType.CV_8UC3, new Scalar(0, 0, 0));
    //ProcessImages.displayImage(ProcessImages.Mat2BufferedImage(dst),"background");
    //Put the image into the container, roi is the new position
    Rect roi = new Rect((dstWidth - image.cols()) / 2, (dstHeight - image.rows()) / 2, image.cols(),
            image.rows());
    Mat targetROI = new Mat(dst, roi);
    image.copyTo(targetROI);
    //          ProcessImages.displayImage(ProcessImages.Mat2BufferedImage(dst),"Standardized");
    return dst;
}

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From source file:depthDataFromStereoCamsOpenCV.ProcessImages.java

/**
 * Mat2BufferedImage/*from   w  w w .  j  a va 2 s.  c  o  m*/
 * @param Mat m
 * @return BufferedImage
 */

public static BufferedImage Mat2BufferedImage(Mat m) {
    // source: http://answers.opencv.org/question/10344/opencv-java-load-image-to-gui/
    // Fastest code
    // The output can be assigned either to a BufferedImage or to an Image

    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }
    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:detectiontest.ImageDisplayer.java

public static BufferedImage toBufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }//  w  ww . j ava 2s. c  o  m
    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:dfmDrone.examples.fitEllipseExample.java

public static Image toBufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1)
        type = BufferedImage.TYPE_3BYTE_BGR;

    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:digimesh.xbee.gui.MeshGui.java

private BufferedImage Mat2BufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }//from ww w  . ja  v a 2s  . 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:digitalassistant.Panel.java

/**
 * Converts/writes a Mat into a BufferedImage.
 *
 * @param matrix Mat of type CV_8UC3 or CV_8UC1
 * @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY
 *//*ww  w  .  j  a v  a  2s .  co m*/
public BufferedImage matToBufferedImage(Mat matrix) {
    int cols = matrix.cols();
    int rows = matrix.rows();
    int elemSize = (int) matrix.elemSize();
    byte[] data = new byte[cols * rows * elemSize];
    int type;
    matrix.get(0, 0, data);
    switch (matrix.channels()) {
    case 1:
        type = BufferedImage.TYPE_BYTE_GRAY;
        break;
    case 3:
        type = BufferedImage.TYPE_3BYTE_BGR;
        // bgr to rgb  
        byte b;
        for (int i = 0; i < data.length; i = i + 3) {
            b = data[i];
            data[i] = data[i + 2];
            data[i + 2] = b;
        }
        break;
    default:
        return null;
    }
    BufferedImage image = new BufferedImage(cols, rows, type);
    image.getRaster().setDataElements(0, 0, cols, rows, data);
    return image;
}

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From source file:digitalassistant.Panel.java

public BufferedImage matToBufferedImage(Mat matrix) {
    int cols = matrix.cols();
    int rows = matrix.rows();
    int elemSize = (int) matrix.elemSize();
    byte[] data = new byte[cols * rows * elemSize];
    int type;/*from w w w  .jav a2 s. com*/
    matrix.get(0, 0, data);
    switch (matrix.channels()) {
    case 1:
        type = BufferedImage.TYPE_BYTE_GRAY;
        break;
    case 3:
        type = BufferedImage.TYPE_3BYTE_BGR;
        // bgr to rgb  
        byte b;
        for (int i = 0; i < data.length; i = i + 3) {
            b = data[i];
            data[i] = data[i + 2];
            data[i + 2] = b;
        }
        break;
    default:
        return null;
    }
    BufferedImage image = new BufferedImage(cols, rows, type);
    image.getRaster().setDataElements(0, 0, cols, rows, data);
    return image;
}

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From source file:edu.fiu.cate.breader.BaseSegmentation.java

/**
 * Finds the bounding box for the book on the stand using 
 * the high resolution image./*from  w  w w . ja v  a  2 s . co m*/
 * @param src- High Resolution image of the book
 * @return Rectangle delineating the book
 */
public Rect highRes(Mat src) {
    Mat dst = src.clone();
    Imgproc.blur(src, dst, new Size(100.0, 100.0), new Point(-1, -1), Core.BORDER_REPLICATE);
    Imgproc.threshold(dst, dst, 0, 255, Imgproc.THRESH_BINARY_INV + Imgproc.THRESH_OTSU);
    Imgproc.Canny(dst, dst, 50, 200, 3, false);

    List<MatOfPoint> contours = new LinkedList<>();
    Mat hierarchy = new Mat();
    Imgproc.findContours(dst, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE,
            new Point(0, 0));

    Mat color = new Mat();
    Imgproc.cvtColor(src, color, Imgproc.COLOR_GRAY2BGR);
    for (int k = 0; k < contours.size(); k++) {
        byte[] vals = ITools.getHeatMapColor((float) k / (float) contours.size());
        Imgproc.drawContours(color, contours, k, new Scalar(vals[0], vals[1], vals[2]), 8);
    }
    new IViewer("HighRes Contours ", BReaderTools.bufferedImageFromMat(color));

    Point center = new Point(src.cols() / 2, src.rows() / 2);
    //Check hierarchy tree
    int[] res = polySearch(center, hierarchy, contours, 0);
    while (res[0] != 1 && res[2] != -1) {
        res = polySearch(center, hierarchy, contours, res[2]);
        if (res[0] == 1)
            break;
    }

    MatOfInt tHull = new MatOfInt();
    int index = 0;
    if (res[1] != -1) {
        index = res[1];
    }
    Imgproc.convexHull(contours.get(index), tHull);

    //get bounding box
    MatOfPoint cont = contours.get(index);
    Point[] points = new Point[tHull.rows()];
    for (int i = 0; i < tHull.rows(); i++) {
        int pIndex = (int) tHull.get(i, 0)[0];
        points[i] = new Point(cont.get(pIndex, 0));
    }
    Rect out = Imgproc.boundingRect(new MatOfPoint(points));
    return out;
}

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From source file:edu.soict.hust.k57.mmdb.components.HistogramImageBulder.java

private ImageIcon createImageIcon(Mat hist, int bin, Channel c) {
    int hist_w = 150; // width of the histogram image
    int hist_h = 100; // height of the histogram image
    int bin_w = (int) Math.round(hist_w * 1.0 / bin);

    Mat histImage = new Mat(hist_h, hist_w, CvType.CV_8UC3, new Scalar(80, 60, 60));
    Mat normalizeHist = hist.clone();//from  w  w  w  .j  a va  2 s . c  o m
    Core.normalize(normalizeHist, normalizeHist, 0, histImage.rows(), Core.NORM_MINMAX, -1, new Mat());

    Scalar scalar = null;
    switch (c) {
    case B:
        scalar = new Scalar(255, 0, 0);
        break;
    case G:
        scalar = new Scalar(0, 255, 0);
        break;
    case R:
        scalar = new Scalar(0, 0, 255);
    }

    for (int i = 1; i < bin; i++) {
        Imgproc.line(histImage, new Point(bin_w * (i - 1), hist_h - Math.round(normalizeHist.get(i - 1, 0)[0])),
                new Point(bin_w * (i), hist_h - Math.round(normalizeHist.get(i - 1, 0)[0])), scalar, 1, 8, 0);
        Imgproc.line(histImage, new Point(bin_w * (i), hist_h - Math.round(normalizeHist.get(i - 1, 0)[0])),
                new Point(bin_w * (i), hist_h - Math.round(normalizeHist.get(i, 0)[0])), scalar, 1, 8, 0);
    }
    MatOfByte buffer = new MatOfByte();
    Imgcodecs.imencode(".png", histImage, buffer);
    return new ImageIcon(buffer.toArray());
}

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