Example usage for org.opencv.core Mat put

Introduction

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

Prototype

public int put(int row, int col, byte[] data) 

Source Link

Usage

From source file:io.appium.java_client.ScreenshotState.java

License:Apache License

private static Mat prepareImageForComparison(BufferedImage srcImage) {
    final BufferedImage normalizedBitmap = new BufferedImage(srcImage.getWidth(), srcImage.getHeight(),
            BufferedImage.TYPE_3BYTE_BGR);
    final Graphics2D g = normalizedBitmap.createGraphics();
    try {// www.j a  v  a  2 s .  c  om
        g.setComposite(AlphaComposite.Src);
        g.drawImage(srcImage, 0, 0, null);
    } finally {
        g.dispose();
    }
    final byte[] pixels = ((DataBufferByte) normalizedBitmap.getRaster().getDataBuffer()).getData();
    final Mat result = new Mat(normalizedBitmap.getHeight(), normalizedBitmap.getWidth(), CvType.CV_8UC3);
    result.put(0, 0, pixels);
    return result;
}

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From source file:javaapplication1.Ocv.java

void directManip(String input, String output) {
    // load the image and read it into a matrix
    File f2 = new File(input);
    Mat image = Highgui.imread(this.input);

    // we're know we're working in 24-bit color dept, so prepare a 3-byte
    // array for storing cells from the Matrix
    byte[] vec3 = new byte[3];

    // Note: we are traversing every other column and every other row
    for (int i = 0; i < image.cols(); i += 2) {
        for (int j = 0; j < image.rows(); j += 2) {
            // get pixel, just to show how to get pixels...
            image.get(j, i, vec3);/* ww  w  . ja  v a  2  s.  c  o  m*/
            // create a zero pixel
            for (int z = 0; z < 3; ++z)
                vec3[z] = 0;
            // set the current pixel to zero
            image.put(j, i, vec3);
        }
    }

    // output the file
    Highgui.imwrite(this.output, image);
}

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From source file:javafx1.JavaFX1.java

public Image bildLaden() {
        Image zwischenBild = null;

        try {/*from   w  ww  . j  a v a 2  s  .  c  o  m*/
            File input = new File("D:/_piCam/bild.jpg");
            //FileInputStream bi = ImageIO.read(input);
            BufferedImage bi = ImageIO.read(input);

            byte[] data = ((DataBufferByte) bi.getRaster().getDataBuffer()).getData();
            Mat mat = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC3);
            mat.put(0, 0, data);

            Mat bild = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC1);
            Imgproc.cvtColor(mat, bild, Imgproc.COLOR_BGR2GRAY);

            byte[] data1 = new byte[bild.rows() * bild.cols() * (int) (bild.elemSize())];
            bild.get(0, 0, data1);
            BufferedImage image1 = new BufferedImage(bild.cols(), bild.rows(), BufferedImage.TYPE_BYTE_GRAY);
            image1.getRaster().setDataElements(0, 0, bild.cols(), bild.rows(), data1);

            File ouptut = new File("D:/xml/grayscale2.jpg");
            //ImageIO.write(image1, "jpg", ouptut);
            BufferedImage gray = image1.getSubimage(0, 0, image1.getTileWidth(), image1.getHeight());
            zwischenBild = SwingFXUtils.toFXImage(gray, null);

        } catch (IOException ex) {
            System.out.println("Fehler beim Bild laden...");
        }
        return zwischenBild;
    }

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From source file:javafx1.JavaFX1.java

private Image analyzePic(BufferedImage bi) {
        //System.out.println("height:" + bi.getHeight() + ", width:" + bi.getWidth());
        //bi = bi.getSubimage(100, 100, 50, 50);
        // Originalbild nach MAT
        byte[] data = ((DataBufferByte) bi.getRaster().getDataBuffer()).getData();
        Mat matOrigin = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC3);
        matOrigin.put(0, 0, data);
        //+Core.addWeighted();
        //+Imgproc.threshold(matOrigin, matOrigin, thresh, maxval, type)
        //+Core.bitwise_xor(matOrigin, matOrigin, matOrigin);

        // fr graubild
        Mat matManipulate = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC1);
        // in Graubild wandeln von...nach
        // Imgproc.cvtColor(matOrigin, matManipulate, Imgproc.COLOR_BGR2GRAY);
        // Imgproc.blur(matManipulate, matManipulate, new Size(3, 3));
        matManipulate = doCanny(matOrigin);
        //aus Mat in BufferedImagae zurckwandeln
        //  byte[] data1 = new byte[matManipulate.rows() * matManipulate.cols() * (int) (matManipulate.elemSize())];
        //  matManipulate.get(0, 0, data1);
        //  BufferedImage biManipulate = new BufferedImage(matManipulate.cols(), matManipulate.rows(), BufferedImage.TYPE_BYTE_GRAY);
        //  biManipulate.getRaster().setDataElements(0, 0, matManipulate.cols(), matManipulate.rows(), data1);
        // BufferedImage gray = image1.getSubimage(0, 0, image1.getTileWidth(), image1.getHeight());
        //return biManipulate;
        matManipulate = doBackgroundRemoval(matManipulate);
        Rect r = new Rect(230, 10, 55, 40);
        Mat m = new Mat(matOrigin, r);
        //return mat2Image(matOrigin);
        return mat2Image(m);

    }//from   w w  w.  ja  v a 2 s. c  o  m

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From source file:main.PGMReader.java

public Mat readImage(String path) {
    FileInputStream fin;/*from   ww w.  ja v a  2  s . c  o m*/
    int cols = 0;
    int rows = 0;
    int maxgray = 0;
    int pixels[][];

    try {
        fin = new FileInputStream(path);

        int tr, tc, c;
        String tstr;

        //read first line of ImageHeader
        tstr = "";
        c = fin.read();
        tstr += (char) c;
        c = fin.read();
        tstr += (char) c;
        //type = tstr;

        //read second line of ImageHeader
        c = fin.read(); //read Lf (linefeed)

        while (c == 10 || c == 13) {
            c = fin.read();
        }

        //c = fin.read(); //read '#'
        tstr = "";
        boolean iscomment = false;
        while ((char) c == '#') //read comment
        {
            iscomment = true;
            tstr += (char) c;
            while (c != 10 && c != 13) {
                c = fin.read();
                tstr += (char) c;
            }
            c = fin.read(); //read next '#'
        }
        //comment = tstr;

        //read third line of ImageHeader
        //read cols
        if (iscomment == true) {
            c = fin.read();
            tstr = "";
            //tstr += (char) c;
        }

        tstr += (char) c;

        while (c != 32 && c != 10 && c != 13) {
            c = fin.read();
            tstr += (char) c;
        }
        tstr = tstr.substring(0, tstr.length() - 1);
        cols = Integer.parseInt(tstr);

        //read rows
        c = fin.read();

        tstr = "";
        tstr += (char) c;
        while (c != 32 && c != 10 && c != 13) {
            c = fin.read();
            tstr += (char) c;
        }
        tstr = tstr.substring(0, tstr.length() - 1);
        rows = Integer.parseInt(tstr);

        //read maxgray
        c = fin.read();

        while (c == 10 || c == 13) {
            c = fin.read();
        }

        tstr = "";
        tstr += (char) c;
        while (c != 32 && c != 10 && c != 13) {
            c = fin.read();
            tstr += (char) c;
        }
        tstr = tstr.substring(0, tstr.length() - 1);
        maxgray = Integer.parseInt(tstr);

        //read pixels from ImageData
        pixels = new int[rows][cols];
        for (tr = 0; tr < rows; tr++) {
            for (tc = 0; tc < cols; tc++) {
                c = (int) fin.read();
                //setPixel(tr, tc, c);
                pixels[tr][tc] = c;
            }
        }

        Mat mat = new Mat(rows, cols, CvType.CV_8UC1);
        //byte[] data = ((DataBufferByte) bi.getRaster().getDataBuffer()).getData();
        for (int row = 0; row < rows; row++) {

            for (int col = 0; col < cols; col++) {
                mat.put(row, col, pixels[row][col]);
            }

        }

        fin.close();

        //mat.put(0, 0, data);
        return mat;

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

    return null;
}

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From source file:model.grayscaleClass.java

/**
 *
 * @param image/*from   w ww .j  ava 2 s  .  c o  m*/
* @return
 */
public File imagePreprocessing(String image, String ex) {
    BufferedImage bImge = null;
    BufferedImage bImage2 = null;
    File grayscle = null;

    try {

        // loadOpenCV_Lib();
        //String path = "opencv\\build\\java\\x64\\opencv_java300.dll";
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        FileInputStream fileName = new FileInputStream(
                "C:\\bimla\\Dev\\java\\OCRSystem\\WebContent\\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:\\bimla\\Dev\\java\\OCRSystem\\WebContent\\uploadedImage\\grayscale" + "." + "jpg");
        ImageIO.write(bImage2, "jpg", grayscle);
    } catch (IOException ex1) {
        System.out.println("" + ex1.getMessage());
    } catch (Exception ex1) {
        Logger.getLogger(grayscaleClass.class.getName()).log(Level.SEVERE, null, ex1);
    }
    return grayscle;

}

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From source file:net.bsrc.cbod.opencv.OpenCV.java

/**
 * Helper method// www . j  av  a  2 s .  com
 *
 * @param org
 * @param list
 * @return
 */
private static Mat getImageWithBlackBg(Mat org, List<Point> list) {

    Mat region = Mat.zeros(org.size(), org.type());

    for (Point p : list) {
        int row = (int) p.y;
        int col = (int) p.x;
        region.put(row, col, org.get(row, col));
    }

    return region;
}

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From source file:net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor.java

License:Open Source License

@Override
public void extract(BufferedImage img) {
    MatOfKeyPoint keypoints = new MatOfKeyPoint();
    Mat descriptors = new Mat();
    List<KeyPoint> myKeys;//from  www  . j  a v a  2s. co m
    //        Mat img_object = Highgui.imread(image, 0); //0 = CV_LOAD_IMAGE_GRAYSCALE
    //        detector.detect(img_object, keypoints);
    byte[] data = ((DataBufferByte) img.getRaster().getDataBuffer()).getData();
    Mat matRGB = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC3);
    matRGB.put(0, 0, data);
    Mat matGray = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC1);
    Imgproc.cvtColor(matRGB, matGray, Imgproc.COLOR_BGR2GRAY); //TODO: RGB or BGR?
    byte[] dataGray = new byte[matGray.rows() * matGray.cols() * (int) (matGray.elemSize())];
    matGray.get(0, 0, dataGray);

    detector.detect(matGray, keypoints);
    extractor.compute(matGray, keypoints, descriptors);
    myKeys = keypoints.toList();

    features = new LinkedList<CvSiftFeature>();
    KeyPoint key;
    CvSiftFeature feat;
    double[] desc;
    int cols, rows = myKeys.size();
    for (int i = 0; i < rows; i++) {
        cols = (descriptors.row(i)).cols();
        desc = new double[cols];
        key = myKeys.get(i);
        for (int j = 0; j < cols; j++) {
            desc[j] = descriptors.get(i, j)[0];
        }
        feat = new CvSiftFeature(key.pt.x, key.pt.y, key.size, desc);
        features.add(feat);
    }
}

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From source file:net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSiftExtractor.java

License:Open Source License

public LinkedList<CvSiftFeature> computeSiftKeypoints(BufferedImage img) {
    MatOfKeyPoint keypoints = new MatOfKeyPoint();
    List<KeyPoint> myKeys;//from  w  ww.  j ava 2 s .  c o  m
    //        Mat img_object = Highgui.imread(image, 0); //0 = CV_LOAD_IMAGE_GRAYSCALE
    //        detector.detect(img_object, keypoints);
    byte[] data = ((DataBufferByte) img.getRaster().getDataBuffer()).getData();
    Mat matRGB = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC3);
    matRGB.put(0, 0, data);
    Mat matGray = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC1);
    Imgproc.cvtColor(matRGB, matGray, Imgproc.COLOR_BGR2GRAY); //TODO: RGB or BGR?
    byte[] dataGray = new byte[matGray.rows() * matGray.cols() * (int) (matGray.elemSize())];
    matGray.get(0, 0, dataGray);

    detector.detect(matGray, keypoints);
    myKeys = keypoints.toList();

    LinkedList<CvSiftFeature> myKeypoints = new LinkedList<CvSiftFeature>();
    KeyPoint key;
    CvSiftFeature feat;
    for (Iterator<KeyPoint> iterator = myKeys.iterator(); iterator.hasNext();) {
        key = iterator.next();
        feat = new CvSiftFeature(key.pt.x, key.pt.y, key.size, null);
        myKeypoints.add(feat);
    }

    return myKeypoints;
}

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From source file:net.semanticmetadata.lire.imageanalysis.features.local.opencvfeatures.CvSurfExtractor.java

License:Open Source License

@Override
public void extract(BufferedImage img) {
    MatOfKeyPoint keypoints = new MatOfKeyPoint();
    Mat descriptors = new Mat();
    List<KeyPoint> myKeys;//from   ww  w  . j  av  a2s  .com
    //        Mat img_object = Highgui.imread(image, 0); //0 = CV_LOAD_IMAGE_GRAYSCALE
    //        detector.detect(img_object, keypoints);
    byte[] data = ((DataBufferByte) img.getRaster().getDataBuffer()).getData();
    Mat matRGB = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC3);
    matRGB.put(0, 0, data);
    Mat matGray = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC1);
    Imgproc.cvtColor(matRGB, matGray, Imgproc.COLOR_BGR2GRAY); //TODO: RGB or BGR?
    byte[] dataGray = new byte[matGray.rows() * matGray.cols() * (int) (matGray.elemSize())];
    matGray.get(0, 0, dataGray);

    detector.detect(matGray, keypoints);
    extractor.compute(matGray, keypoints, descriptors);
    myKeys = keypoints.toList();

    features = new LinkedList<CvSurfFeature>();
    KeyPoint key;
    CvSurfFeature feat;
    double[] desc;
    int cols, rows = myKeys.size();
    for (int i = 0; i < rows; i++) {
        cols = (descriptors.row(i)).cols();
        desc = new double[cols];
        key = myKeys.get(i);
        for (int j = 0; j < cols; j++) {
            desc[j] = descriptors.get(i, j)[0];
        }
        feat = new CvSurfFeature(key.pt.x, key.pt.y, key.size, desc);
        features.add(feat);
    }
}

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