Example usage for org.opencv.core Mat get

Introduction

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

Prototype

public int get(int row, int col, double[] data) 

Source Link

Usage

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;
    }//  w ww.  j a  v a 2 s . 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: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
 *///from w  w w.  j av  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 .  ja  va2  s .c  o m*/
    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

public int[] polySearch(Point point, Mat hierarchy, List<MatOfPoint> contours, int current) {
    // first index is whether the point is contained and second is which children has it.
    // Third is who is next
    int[] out = new int[3];
    int[] hEntry = new int[4];
    hierarchy.get(0, current, hEntry);
    int nextChild = hEntry[2], nextSibling = hEntry[0];
    // If point is not within current contour return -1
    if (Imgproc.pointPolygonTest(new MatOfPoint2f(contours.get(current).toArray()), point, false) < 0) {
        out[0] = -1;//from   w ww  .  java  2  s.  c  o  m
        out[1] = -1;
    } else {
        //Otherwise check if contours has children containing the point
        out[0] = 1;
        //Depth first search
        int[] ret = new int[3];
        int childrenCount = 0;
        while (nextChild != -1) {
            ret = polySearch(point, hierarchy, contours, nextChild);
            childrenCount++;
            nextChild = ret[2];
        }
        //If there is only one children return it.
        if (childrenCount == 1) {
            out[1] = ret[1];
        } else {//If more than one children are contained returned the parent
            out[1] = current;
        }
    }
    out[2] = nextSibling;

    return out;
}

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From source file:facedetection.FaceDetector.java

public BufferedImage mat2BufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }/*from   w  ww. java 2  s.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:faceDetectionV1.FaceDetection.java

private BufferedImage convertMatToImage(Mat matrix) {
    int type = BufferedImage.TYPE_BYTE_GRAY;

    if (matrix.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }/*ww w.  ja  va 2 s  .c  o  m*/

    int bufferSize = matrix.channels() * matrix.cols() * matrix.rows();
    byte bytes[] = new byte[bufferSize];
    matrix.get(0, 0, bytes);
    BufferedImage image = new BufferedImage(matrix.cols(), matrix.rows(), type);
    final byte targetsize[] = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(bytes, 0, targetsize, 0, bytes.length);
    return image;
}

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From source file:formularios.FrmCamera.java

public BufferedImage MatToBufferedImage(Mat frame) {
    //Mat() to BufferedImage
    int type = 0;
    if (frame.channels() == 1) {
        type = BufferedImage.TYPE_BYTE_GRAY;
    } else if (frame.channels() == 3) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }//from  ww w . j ava 2s .co m
    BufferedImage image = new BufferedImage(frame.width(), frame.height(), type);
    WritableRaster raster = image.getRaster();
    DataBufferByte dataBuffer = (DataBufferByte) raster.getDataBuffer();
    byte[] data = dataBuffer.getData();
    frame.get(0, 0, data);

    return image;
}

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From source file:fr.olympicinsa.riocognized.facedetector.tools.ImageConvertor.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
 *///from   w  w  w . j  a v  a 2 s  .c  o  m
public static BufferedImage matToBufferedImage(Mat matrix) {
    log.debug("****** MatToBuffered Image **********");
    log.debug("input : " + matrix.toString());
    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);
    log.debug("type: " + type);
    log.debug("output:" + image.toString());
    log.debug("***********************************");
    return image;
}

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From source file:gab.opencv.OpenCV.java

License:Open Source License

/**
 * //from  www. j ava 2  s . c  o m
 * Convert a 4 channel OpenCV Mat object into 
 * pixels to be shoved into a 4 channel ARGB PImage's
 * pixel array.
 * 
 * @param m
 *       An RGBA Mat we want converted 
 * @return
 *       An int[] formatted to be the pixels of a PImage
 */
public int[] matToARGBPixels(Mat m) {
    int pImageChannels = 4;
    int numPixels = m.width() * m.height();
    int[] intPixels = new int[numPixels];
    byte[] matPixels = new byte[numPixels * pImageChannels];

    m.get(0, 0, matPixels);
    ByteBuffer.wrap(matPixels).order(ByteOrder.LITTLE_ENDIAN).asIntBuffer().get(intPixels);
    return intPixels;
}

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From source file:gab.opencv.OpenCVProcessingUtils.java

License:Open Source License

/**
 * Convert an OpenCV Mat object into a PImage
 * to be used in other Processing code.//from www  .  j  av a2 s  .  c  om
 * Copies the Mat's pixel data into the PImage's pixel array.
 * Iterates over each pixel in the Mat, i.e. expensive.
 * 
 * (Mainly used internally by OpenCV. Inspired by toCv()
 * from KyleMcDonald's ofxCv.)
 * 
 * @param m
 *          A Mat you want converted
 * @param img
 *          The PImage you want the Mat converted into.
 */
public void toPImage(Mat m, PImage img) {
    img.loadPixels();

    if (m.channels() == 3) {
        byte[] matPixels = new byte[width * height * 3];
        m.get(0, 0, matPixels);
        for (int i = 0; i < m.width() * m.height() * 3; i += 3) {
            img.pixels[PApplet.floor(i / 3)] = parent.color(matPixels[i + 2] & 0xFF, matPixels[i + 1] & 0xFF,
                    matPixels[i] & 0xFF);
        }
    } else if (m.channels() == 1) {
        byte[] matPixels = new byte[width * height];
        m.get(0, 0, matPixels);
        for (int i = 0; i < m.width() * m.height(); i++) {
            img.pixels[i] = parent.color(matPixels[i] & 0xFF);
        }
    } else if (m.channels() == 4) {
        byte[] matPixels = new byte[width * height * 4];
        m.get(0, 0, matPixels);
        for (int i = 0; i < m.width() * m.height() * 4; i += 4) {
            img.pixels[PApplet.floor(i / 4)] = parent.color(matPixels[i + 2] & 0xFF, matPixels[i + 1] & 0xFF,
                    matPixels[i] & 0xFF, matPixels[i + 3] & 0xFF);
        }
    }

    img.updatePixels();
}

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