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:com.sikulix.core.SXElement.java

License:Open Source License

protected static Mat makeMat(BufferedImage bImg) {
    Mat aMat = new Mat();
    if (bImg.getType() == BufferedImage.TYPE_INT_RGB) {
        log.trace("makeMat: INT_RGB (%dx%d)", bImg.getWidth(), bImg.getHeight());
        int[] data = ((DataBufferInt) bImg.getRaster().getDataBuffer()).getData();
        ByteBuffer byteBuffer = ByteBuffer.allocate(data.length * 4);
        IntBuffer intBuffer = byteBuffer.asIntBuffer();
        intBuffer.put(data);//w w w  .  ja  v  a  2  s .co  m
        aMat = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC4);
        aMat.put(0, 0, byteBuffer.array());
        Mat oMatBGR = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC3);
        Mat oMatA = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC1);
        java.util.List<Mat> mixIn = new ArrayList<Mat>(Arrays.asList(new Mat[] { aMat }));
        java.util.List<Mat> mixOut = new ArrayList<Mat>(Arrays.asList(new Mat[] { oMatA, oMatBGR }));
        //A 0 - R 1 - G 2 - B 3 -> A 0 - B 1 - G 2 - R 3
        Core.mixChannels(mixIn, mixOut, new MatOfInt(0, 0, 1, 3, 2, 2, 3, 1));
        return oMatBGR;
    } else if (bImg.getType() == BufferedImage.TYPE_3BYTE_BGR) {
        log.error("makeMat: 3BYTE_BGR (%dx%d)", bImg.getWidth(), bImg.getHeight());
        byte[] data = ((DataBufferByte) bImg.getRaster().getDataBuffer()).getData();
        aMat = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC3);
        aMat.put(0, 0, data);
        return aMat;
    } else if (bImg.getType() == BufferedImage.TYPE_4BYTE_ABGR) {
        log.trace("makeMat: TYPE_4BYTE_ABGR (%dx%d)", bImg.getWidth(), bImg.getHeight());
        byte[] data = ((DataBufferByte) bImg.getRaster().getDataBuffer()).getData();
        aMat = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC4);
        aMat.put(0, 0, data);
        Mat oMatBGR = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC3);
        Mat oMatA = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC1);
        java.util.List<Mat> mixIn = new ArrayList<Mat>(Arrays.asList(new Mat[] { aMat }));
        java.util.List<Mat> mixOut = new ArrayList<Mat>(Arrays.asList(new Mat[] { oMatA, oMatBGR }));
        //A 0 - R 1 - G 2 - B 3 -> A 0 - B 1 - G 2 - R 3
        Core.mixChannels(mixIn, mixOut, new MatOfInt(0, 0, 1, 1, 2, 2, 3, 3));
        return oMatBGR;
    } else {
        log.error("makeMat: Type not supported: %d (%dx%d)", bImg.getType(), bImg.getWidth(), bImg.getHeight());
    }
    return aMat;
}

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From source file:com.sikulix.core.Visual.java

License:Open Source License

protected static Mat makeMat(BufferedImage bImg) {
    Mat aMat = null;
    if (bImg.getType() == BufferedImage.TYPE_INT_RGB) {
        vLog.trace("makeMat: INT_RGB (%dx%d)", bImg.getWidth(), bImg.getHeight());
        int[] data = ((DataBufferInt) bImg.getRaster().getDataBuffer()).getData();
        ByteBuffer byteBuffer = ByteBuffer.allocate(data.length * 4);
        IntBuffer intBuffer = byteBuffer.asIntBuffer();
        intBuffer.put(data);/*from w w w  .j  a v a  2  s  .  c om*/
        aMat = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC4);
        aMat.put(0, 0, byteBuffer.array());
        Mat oMatBGR = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC3);
        Mat oMatA = new Mat(bImg.getHeight(), bImg.getWidth(), CvType.CV_8UC1);
        List<Mat> mixIn = new ArrayList<Mat>(Arrays.asList(new Mat[] { aMat }));
        List<Mat> mixOut = new ArrayList<Mat>(Arrays.asList(new Mat[] { oMatA, oMatBGR }));
        //A 0 - R 1 - G 2 - B 3 -> A 0 - B 1 - G 2 - R 3
        Core.mixChannels(mixIn, mixOut, new MatOfInt(0, 0, 1, 3, 2, 2, 3, 1));
        return oMatBGR;
    } else if (bImg.getType() == BufferedImage.TYPE_3BYTE_BGR) {
        vLog.error("makeMat: 3BYTE_BGR (%dx%d)", bImg.getWidth(), bImg.getHeight());
    } else {
        vLog.error("makeMat: Type not supported: %d (%dx%d)", bImg.getType(), bImg.getWidth(),
                bImg.getHeight());
    }
    return aMat;
}

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From source file:com.trandi.opentld.tld.PatchGenerator.java

License:Apache License

/**
 * //w ww . j a va2 s. c  om
 * @param srcCenter
 * @param dstCenter
 * @param transform OUTPUT
 * @param inverse
 */
private void generateRandomTransform(Point srcCenter, Point dstCenter, Mat transform, boolean inverse) {
    MatOfDouble tempRand = new MatOfDouble(0d, 0d);
    Core.randu(tempRand, lambdaMin, lambdaMax);
    final double[] rands = tempRand.toArray();
    final double lambda1 = rands[0];
    final double lambda2 = rands[1];
    Core.randu(tempRand, thetaMin, thetaMax);
    final double theta = tempRand.toArray()[0];
    Core.randu(tempRand, phiMin, phiMax);
    final double phi = tempRand.toArray()[0];

    // Calculate random parameterized affine transformation A,
    // A = T(patch center) * R(theta) * R(phi)' * S(lambda1, lambda2) * R(phi) * T(-pt)
    final double st = Math.sin(theta);
    final double ct = Math.cos(theta);
    final double sp = Math.sin(phi);
    final double cp = Math.cos(phi);
    final double c2p = cp * cp;
    final double s2p = sp * sp;

    final double A = lambda1 * c2p + lambda2 * s2p;
    final double B = (lambda2 - lambda1) * sp * cp;
    final double C = lambda1 * s2p + lambda2 * c2p;

    final double Ax_plus_By = A * srcCenter.x + B * srcCenter.y;
    final double Bx_plus_Cy = B * srcCenter.x + C * srcCenter.y;

    transform.create(2, 3, CvType.CV_64F);
    transform.put(0, 0, A * ct - B * st);
    transform.put(0, 1, B * ct - C * st);
    transform.put(0, 2, -ct * Ax_plus_By + st * Bx_plus_Cy + dstCenter.x);
    transform.put(1, 0, A * st + B * ct);
    transform.put(1, 1, B * st + C * ct);
    transform.put(1, 2, -st * Ax_plus_By - ct * Bx_plus_Cy + dstCenter.y);

    if (inverse) {
        Imgproc.invertAffineTransform(transform, transform);
    }
}

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From source file:com.untref.bordes.HoughCirculos.java

public static BufferedImage implementarCiculos(BufferedImage screen, int acumulador, int radioMin,
        int radioMax) {
    Mat source = new Mat(screen.getHeight(), screen.getWidth(), CvType.CV_8UC3);
    byte[] data = ((DataBufferByte) screen.getRaster().getDataBuffer()).getData();
    source.put(0, 0, data);
    //ImageIO.write(screen, "jpg", "imagen");
    //Mat source = Highgui.imread("test.jpg", Highgui.CV_LOAD_IMAGE_COLOR);
    Mat destination = new Mat(source.rows(), source.cols(), source.type());

    Imgproc.cvtColor(source, destination, Imgproc.COLOR_RGB2GRAY);

    Imgproc.GaussianBlur(destination, destination, new Size(3, 3), 0, 0);

    Mat circles = new Mat();
    Imgproc.HoughCircles(destination, circles, Imgproc.CV_HOUGH_GRADIENT, 1, 30, 10, acumulador, radioMin,
            radioMax);/*from w  w  w.  j av a  2 s. c o m*/

    int radius;
    org.opencv.core.Point pt;
    for (int x = 0; x < circles.cols(); x++) {
        double vCircle[] = circles.get(0, x);

        if (vCircle == null) {
            break;
        }

        pt = new org.opencv.core.Point(Math.round(vCircle[0]), Math.round(vCircle[1]));
        radius = (int) Math.round(vCircle[2]);

        // draw the found circle
        Core.circle(source, pt, radius, new Scalar(150, 0, 0), 2);
        Core.circle(source, pt, 1, new Scalar(0, 0, 0), 2);
    }
    BufferedImage res = matToBufferedImage(source);

    return res;

}

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From source file:ctPrincipal.Ruidos.java

private String ruidoGaussiano(int mean, int desv) {
    Mat original_Bgr = image.clone();
    Mat mGaussian_noise = new Mat(original_Bgr.size(), original_Bgr.type());
    randn(mGaussian_noise, mean, desv);/*from   ww  w.jav  a 2 s .  c o m*/
    for (int m = 0; m < original_Bgr.rows(); m++) {
        for (int n = 0; n < original_Bgr.cols(); n++) {
            double[] val = new double[3];
            for (int i = 0; i < original_Bgr.get(m, n).length; i++) {
                val[i] = original_Bgr.get(m, n)[i] + mGaussian_noise.get(m, n)[i];
            }
            original_Bgr.put(m, n, val);
        }
    }
    normalize(original_Bgr, original_Bgr, 0, 255, Core.NORM_MINMAX, CvType.CV_8UC3);
    Imgcodecs.imwrite("OutputImg/gaussian.jpg", original_Bgr);
    return "OutputImg/gaussian.jpg";
}

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From source file:ctPrincipal.Ruidos.java

private String ruidoSalPimenta(int min, int max) {
    Mat saltPepper_img = image.clone();
    Mat mSaltPepper_noise = new Mat(saltPepper_img.size(), saltPepper_img.type());
    randn(mSaltPepper_noise, 0, 255);/*from w  ww . j  av a 2 s .co  m*/
    for (int m = 0; m < saltPepper_img.rows(); m++) {
        for (int n = 0; n < saltPepper_img.cols(); n++) {
            double[] val = new double[3];
            if (mSaltPepper_noise.get(m, n)[0] < min && mSaltPepper_noise.get(m, n)[1] < min
                    && mSaltPepper_noise.get(m, n)[2] < min) {
                for (int i = 0; i < saltPepper_img.get(m, n).length; i++) {
                    val[i] = 0;
                }
                saltPepper_img.put(m, n, val);
            }
            if (mSaltPepper_noise.get(m, n)[0] > max && mSaltPepper_noise.get(m, n)[1] > max
                    && mSaltPepper_noise.get(m, n)[2] > max) {
                for (int i = 0; i < saltPepper_img.get(m, n).length; i++) {
                    val[i] = 255;
                }
                saltPepper_img.put(m, n, val);
            }
        }
    }
    normalize(saltPepper_img, saltPepper_img, 0, 255, Core.NORM_MINMAX, CvType.CV_8UC3);
    Imgcodecs.imwrite("OutputImg/saltpepper.jpg", saltPepper_img);
    return "OutputImg/saltpepper.jpg";
}

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From source file:cv.faceRecognize.faceRecognizer.java

public Mat ListToMat(List<Integer> a) {
    System.out.println(a);//from www . j  a v a 2  s  . c  o m
    Mat m = new Mat(a.size(), 1, CvType.CV_32SC1);
    //        IntBuffer inf = m.createBuffer();
    System.out.println(m);
    int i = 0;
    for (int lable : a) {
        System.out.println(Arrays.toString(m.get(i, 1)));
        m.put(i, 0, lable);
        System.out.println(Arrays.toString(m.get(i, 0)));
        i += 1;
    }
    System.out.println(m);
    return m;
}

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From source file:cx.uni.jk.mms.iaip.mat.MatModel.java

License:Open Source License

/**
 * loads and decodes an image with Java ImageIO.
 * /*www. ja v a 2s. c  o m*/
 * drawback: only gray scale images allowed, fewer file types supported. @see
 * <a
 * href="http://docs.oracle.com/javase/tutorial/2d/images/loadimage.html">
 * java tutorials</a> for details.
 * 
 * @throws UnsupportedImageTypeException
 *             if the image is not an 8 bit gray scale image.
 */
protected Mat loadAndDecodeImageWithJavaImageIO(Path path) throws IOException {
    this.logger.finer("Loading and decoding image with Java ImageIO.");
    BufferedImage img = ImageIO.read(path.toUri().toURL());

    int cvType;
    switch (img.getType()) {
    case BufferedImage.TYPE_BYTE_GRAY:
        cvType = CvType.CV_8U;
        break;
    default:
        throw new UnsupportedImageTypeException();
    }

    Mat mat = new Mat(img.getHeight(), img.getWidth(), cvType);
    mat.put(0, 0, ((DataBufferByte) img.getRaster().getDataBuffer()).getData());
    return mat;
}

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From source file:de.vion.eyetracking.cameracalib.calibration.opencv.CameraCalibrator.java

private void calcBoardCornerPositions(Mat corners) {
    final int cn = 3;
    float positions[] = new float[this.mCornersSize * cn];

    for (int i = 0; i < this.mPatternSize.height; i++) {
        for (int j = 0; j < this.mPatternSize.width * cn; j += cn) {
            positions[(int) (i * this.mPatternSize.width * cn + j + 0)] = (2 * (j / cn) + i % 2)
                    * (float) this.mSquareSize;
            positions[(int) (i * this.mPatternSize.width * cn + j + 1)] = i * (float) this.mSquareSize;
            positions[(int) (i * this.mPatternSize.width * cn + j + 2)] = 0;
        }//  w  w  w .j a  va 2 s. c o m
    }
    corners.create(this.mCornersSize, 1, CvType.CV_32FC3);
    corners.put(0, 0, positions);
}

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From source file:de.vion.eyetracking.cameracalib.calibration.opencv.CameraCalibrator.java

private double computeReprojectionErrors(List<Mat> objectPoints, List<Mat> rvecs, List<Mat> tvecs,
        Mat perViewErrors) {
    MatOfPoint2f cornersProjected = new MatOfPoint2f();
    double totalError = 0;
    double error;
    float viewErrors[] = new float[objectPoints.size()];

    MatOfDouble distortionCoefficients = new MatOfDouble(this.mDistortionCoefficients);
    int totalPoints = 0;
    for (int i = 0; i < objectPoints.size(); i++) {
        MatOfPoint3f points = new MatOfPoint3f(objectPoints.get(i));
        Calib3d.projectPoints(points, rvecs.get(i), tvecs.get(i), this.mCameraMatrix, distortionCoefficients,
                cornersProjected);/*from   w  ww .  ja v a 2  s  .  c o  m*/
        error = Core.norm(this.mCornersBuffer.get(i), cornersProjected, Core.NORM_L2);

        int n = objectPoints.get(i).rows();
        viewErrors[i] = (float) Math.sqrt(error * error / n);
        totalError += error * error;
        totalPoints += n;
    }
    perViewErrors.create(objectPoints.size(), 1, CvType.CV_32FC1);
    perViewErrors.put(0, 0, viewErrors);

    return Math.sqrt(totalError / totalPoints);
}

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