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:com.github.rosjava_catkin_package_a.ARLocROS.Imshow.java

License:Apache License

/**
 * @param opencvImage/* w  w  w  .jav a2s  .  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 (Exception e) {
        e.printStackTrace();
    }
}

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From source file:com.jeremydyer.nifi.ZoomImageProcessor.java

License:Apache License

@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
    final FlowFile original = session.get();
    if (original == null) {
        return;/*from  ww  w .  j av  a  2  s  . co m*/
    }

    session.transfer(session.clone(original), REL_ORIGINAL);

    FlowFile ff = session.write(original, new StreamCallback() {
        @Override
        public void process(InputStream inputStream, OutputStream outputStream) throws IOException {
            try {
                int zoomingFactor = context.getProperty(ZOOMING_FACTOR).asInteger();

                BufferedImage image = ImageIO.read(inputStream);
                byte[] pixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
                Mat source = new Mat(image.getHeight(), image.getWidth(), Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
                source.put(0, 0, pixels);

                Mat destination = new Mat(source.rows() * zoomingFactor, source.cols() * zoomingFactor,
                        source.type());
                Imgproc.resize(source, destination, destination.size(), zoomingFactor, zoomingFactor,
                        Imgproc.INTER_NEAREST);

                MatOfByte bytemat = new MatOfByte();
                Imgcodecs.imencode(".png", destination, bytemat);
                pixels = bytemat.toArray();
                outputStream.write(pixels);

            } catch (Exception ex) {
                getLogger().error(ex.getMessage());
                ex.printStackTrace();
            }
        }
    });

    session.transfer(ff, REL_SUCCESS);

}

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From source file:com.jiminger.image.mjpeg.MJPEGWriter.java

License:Open Source License

static public boolean appendFile(final String filename) {
    if (height == -1) {
        final Mat origImage = Imgcodecs.imread(filename);
        width = origImage.cols();//  ww  w  .ja  v a 2 s.  c  o  m
        height = origImage.rows();
    }
    return doappendFile(filename, width, height);
}

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From source file:com.joravasal.keyface.EigenFacesActivity.java

License:Open Source License

@Override
public void onCreate(Bundle savedInstanceState) {
    Log.i("eigenFacesActivity::", "OnCreate");
    super.onCreate(savedInstanceState);

    setContentView(R.layout.eigenfaces);
    setTitle("Eigenfaces");
    Mat aver = ((PCAfaceRecog) KeyFaceActivity.recogAlgorithm).getAverage();
    Mat faces = ((PCAfaceRecog) KeyFaceActivity.recogAlgorithm).getEigenFaces();

    int size = new Integer(KeyFaceActivity.prefs.getString("savedFaceSize", "200"));
    Mat aux = new Mat();

    aver = aver.reshape(1, size);//from   ww  w.  j  a  va2s  .c  o m
    //aver.convertTo(aux, );
    aver = toGrayscale(aver);
    average = Bitmap.createBitmap(size, size, Bitmap.Config.ARGB_8888);
    Imgproc.cvtColor(aver, aux, Imgproc.COLOR_GRAY2RGBA, 4);
    Utils.matToBitmap(aux, average);
    LinearLayout layout = (LinearLayout) findViewById(id.eigenFacesHorizontalLayout);

    TextView avrgImgTV = new TextView(getApplicationContext());
    avrgImgTV.setText("Average image:");
    avrgImgTV.setPadding(5, 10, 10, 20);
    avrgImgTV.setGravity(Gravity.CENTER);

    TextView eigenfacesImgsTV = new TextView(getApplicationContext());
    eigenfacesImgsTV.setText("Eigenfaces:");
    eigenfacesImgsTV.setPadding(5, 10, 10, 20);
    eigenfacesImgsTV.setGravity(Gravity.CENTER);

    ImageView imgV = new ImageView(getApplicationContext());

    imgV.setClickable(false);
    imgV.setVisibility(0);
    imgV.setPadding(0, 10, 10, 20);
    imgV.setImageBitmap(average);

    layout.addView(avrgImgTV);
    layout.addView(imgV);
    layout.addView(eigenfacesImgsTV);

    LinkedList<ImageView> variables = new LinkedList<ImageView>();
    eigenfacesList = new LinkedList<Bitmap>();
    for (int i = 0; i < faces.rows(); i++) {
        variables.add(new ImageView(getApplicationContext()));
        eigenfacesList.add(Bitmap.createBitmap(size, size, Bitmap.Config.ARGB_8888));

        aux = new Mat();
        aux = faces.row(i).reshape(1, size);
        aux = toGrayscale(aux);
        Mat auxGreyC4 = new Mat();
        Imgproc.cvtColor(aux, auxGreyC4, Imgproc.COLOR_GRAY2RGBA, 4);
        Utils.matToBitmap(auxGreyC4, eigenfacesList.get(i));

        variables.get(i).setClickable(false);
        variables.get(i).setVisibility(0);
        variables.get(i).setPadding(0, 10, 10, 20);
        variables.get(i).setImageBitmap(eigenfacesList.get(i));
        layout.addView(variables.get(i));
    }

    Button save = (Button) findViewById(id.saveEigenfacesB);
    save.setOnClickListener(this);
}

---

From source file:com.joravasal.keyface.EigenFacesActivity.java

License:Open Source License

/**
 * Converts a matrix with any values into a matrix with correct values (between 0 and 255, both included) to be shown as an image.
 * @param mat: The matrix to convert/* w w  w.jav a  2 s  .  c o  m*/
 * @return A matrix that can be used as an image
 */
private Mat toGrayscale(Mat mat) {
    Mat res = new Mat(mat.rows(), mat.cols(), CvType.CV_8UC1);
    double min, max;
    MinMaxLocResult minmax = Core.minMaxLoc(mat);
    min = minmax.minVal;
    max = minmax.maxVal;
    for (int row = 0; row < mat.rows(); row++) {
        for (int col = 0; col < mat.cols(); col++) {
            res.put(row, col, 255 * ((mat.get(row, col)[0] - min) / (max - min)));
        }
    }
    return res;
}

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From source file:com.Linguist.model.AdaptiveThresholdClass.java

@Override
public File imagePreprocessing(String imageFile, String extnsn) {
    //  System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    Mat graySource = imread("C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\" + imageFile,
            IMREAD_GRAYSCALE);//  w w  w .j a v a  2  s.  c  om
    Mat destintn = new Mat(graySource.rows(), graySource.cols(), graySource.type());

    adaptiveThreshold(graySource, destintn, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 15, 40);
    Imgcodecs.imwrite("C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\adaptive.jpg",
            destintn);
    File outputImage = new File(
            "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\adaptive.jpg");
    return outputImage;
}

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From source file:com.Linguist.model.grayscaleClass.java

@Override
public File imagePreprocessing(String image, String extnsn) {

    BufferedImage bImge = null;//from w  w  w.jav  a  2  s  .  co  m
    BufferedImage bImage2 = null;
    File grayscle = null;

    try {

        // loadOpenCV_Lib();
        //String path = "opencv\\build\\java\\x64\\opencv_java300.dll";
        FileInputStream fileName = new FileInputStream(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\" + image);
        InputStream input = fileName;
        bImge = ImageIO.read(input);
        byte[] imgeByte = ((DataBufferByte) bImge.getRaster().getDataBuffer()).getData();
        Mat mat1 = new Mat(bImge.getHeight(), bImge.getWidth(), CvType.CV_8UC3);
        mat1.put(0, 0, imgeByte);
        Mat mat2 = new Mat(bImge.getHeight(), bImge.getWidth(), CvType.CV_8UC1);
        Imgproc.cvtColor(mat1, mat2, Imgproc.COLOR_RGB2GRAY);
        byte[] imageData = new byte[mat2.rows() * mat2.cols() * (int) (mat2.elemSize())];
        mat2.get(0, 0, imageData);
        bImage2 = new BufferedImage(mat2.cols(), mat2.rows(), BufferedImage.TYPE_BYTE_GRAY);
        bImage2.getRaster().setDataElements(0, 0, mat2.cols(), mat2.rows(), imageData);

        String extn = null;
        switch (extnsn) {
        case ".jpg":
            extn = "jpg";
            break;
        case ".png":
            extn = "png";
            break;
        case ".pdf":
            extn = "pdf";
            break;
        case ".tiff":
            extn = "tif";
            break;

        }
        //writing the grayscale image to the folder
        grayscle = new File(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\grayscale" + "." + extn);
        ImageIO.write(bImage2, "jpg", grayscle);
    } catch (IOException ex) {
        System.out.println("" + ex.getMessage());
    } catch (Exception ex) {
        Logger.getLogger(grayscaleClass.class.getName()).log(Level.SEVERE, null, ex);
    }
    return grayscle;

}

---

From source file:com.Linguist.model.sharpeningClass.java

public File imagePreprocessing(String imgeNme, String extnsn) {
    File sharpen = null;//from  www.j  ava 2  s .c  om
    try {
        // System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        Mat source = Imgcodecs.imread(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\" + imgeNme,
                Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
        Mat destination = new Mat(source.rows(), source.cols(), source.type());

        Imgproc.equalizeHist(source, destination);
        Imgcodecs.imwrite("C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\contrast.jpg",
                destination);
        sharpen = new File("C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\contrast.jpg");
    } catch (Exception e) {
        System.out.println("error: " + e.getMessage());
    }
    return sharpen;
}

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From source file:com.minio.io.alice.MatVideoWriter.java

License:Open Source License

private byte[] captureBitmap(Mat mat) {
    Bitmap bitmap;/*from   ww w. ja v  a 2  s  .  c  om*/
    try {
        bitmap = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
        Utils.matToBitmap(mat, bitmap);

        ByteArrayOutputStream byteStream = new ByteArrayOutputStream();
        bitmap.compress(Bitmap.CompressFormat.JPEG, 100, byteStream);

        // Convert ByteArrayOutputStream to byte array. Close stream.
        matByteArray = byteStream.toByteArray();
        byteStream.close();
        return matByteArray;

    } catch (Exception ex) {
        System.out.println(ex.getMessage());
    }
    return null;
}

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From source file:com.mycompany.analyzer.Analyzer.java

public BufferedImage mat2BufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }/*from   w w  w .  j ava 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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