Example usage for org.opencv.core Mat channels

Introduction

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

Prototype

public int channels() 

Source Link

Usage

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   w  w w .  j av a  2  s.  com
    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 ww  . jav 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

/**
 * Convert an OpenCV Mat object into a PImage
 * to be used in other Processing code./* w  ww .j a v  a 2s .co  m*/
 * 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) {
        Mat m2 = new Mat();
        Imgproc.cvtColor(m, m2, Imgproc.COLOR_RGB2RGBA);
        img.pixels = matToARGBPixels(m2);
    } else if (m.channels() == 1) {
        Mat m2 = new Mat();
        Imgproc.cvtColor(m, m2, Imgproc.COLOR_GRAY2RGBA);
        img.pixels = matToARGBPixels(m2);
    } else if (m.channels() == 4) {
        img.pixels = matToARGBPixels(m);
    }

    img.updatePixels();
}

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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   ww  w .  ja va2 s.co m*/
 * 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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From source file:houghtransform.Capture.java

private static BufferedImage convertMatToBufferedImage(Mat mat) {
    byte[] data = new byte[mat.width() * mat.height() * (int) mat.elemSize()];
    int type;/*from  w ww  . java  2  s. com*/
    mat.get(0, 0, data);

    switch (mat.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:
        throw new IllegalStateException("Unsupported number of channels");
    }

    BufferedImage out = new BufferedImage(mat.width(), mat.height(), type);

    out.getRaster().setDataElements(0, 0, mat.width(), mat.height(), data);

    return out;
}

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From source file:imagegame.Camera.java

public static BufferedImage mat2BufferedImage(Mat mat) {
    //        MatOfByte buffer = new MatOfByte();
    //        Imgcodecs.imencode(".png", mat, buffer);
    int type = mat.channels() > 1 ? BufferedImage.TYPE_3BYTE_BGR : BufferedImage.TYPE_BYTE_GRAY;
    BufferedImage image = new BufferedImage(mat.cols(), mat.rows(), type);
    mat.get(0, 0, ((DataBufferByte) image.getRaster().getDataBuffer()).getData());
    return image;
    //return new Image(new ByteArrayInputStream(buffer.toArray()));
}

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From source file:imageprocess.PixelProcessor.java

public void salt(Mat image, int n) {
    for (int k = 0; k < n; k++) {
        int i = (int) (Math.random() * image.cols());
        int j = (int) (Math.random() * image.rows());
        if (image.channels() == 1) {
            image.put(j, i, 255);//  ww w  .ja  v a 2 s  .c o m
        } else if (image.channels() == 3) {
            image.put(j, i, new byte[] { (byte) 255, (byte) 255, (byte) 255 });
        }
    }
}

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From source file:interactivespaces.service.image.vision.opencv.MatUtils.java

License:Apache License

/**
 * Converts a {@link Mat} into a {@link BufferedImage}.
 *
 * @param matrix/*from   w ww. j a va 2 s . com*/
 *          Mat of type CV_8UC3 or CV_8UC1
 *
 * @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY
 *
 * @throws SimpleInteractiveSpacesException
 *           the OpenCV Mat type is not supported
 */
public static BufferedImage matToBufferedImage(Mat matrix) throws SimpleInteractiveSpacesException {
    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;
        for (int i = 0; i < data.length; i = i + 3) {
            byte b = data[i];
            data[i] = data[i + 2];
            data[i + 2] = b;
        }
        break;
    default:
        throw new SimpleInteractiveSpacesException("The OpenCV Mat type is not supported");
    }

    BufferedImage image = new BufferedImage(cols, rows, type);
    image.getRaster().setDataElements(0, 0, cols, rows, data);

    return image;
}

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From source file:io.github.jakejmattson.facialrecognition.ImageFrame.java

License:Open Source License

/**
 * Convert an OpenCV Mat to a Java BufferedImage.
 *
 * @param matrix/*w ww . j av  a 2  s  .co m*/
 *       OpenCV Mat
 *
 * @return BufferedImage
 */
private static BufferedImage convertMatToImage(Mat matrix) {
    int width = matrix.width();
    int height = matrix.height();
    int type = matrix.channels() != 1 ? BufferedImage.TYPE_3BYTE_BGR : BufferedImage.TYPE_BYTE_GRAY;

    if (type == BufferedImage.TYPE_3BYTE_BGR)
        Imgproc.cvtColor(matrix, matrix, Imgproc.COLOR_BGR2RGB);

    byte[] data = new byte[width * height * (int) matrix.elemSize()];
    matrix.get(0, 0, data);

    BufferedImage out = new BufferedImage(width, height, type);
    out.getRaster().setDataElements(0, 0, width, height, data);

    return out;
}

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From source file:io.smartspaces.service.image.vision.opencv.MatUtils.java

License:Apache License

/**
 * Converts a {@link Mat} into a {@link BufferedImage}.
 *
 * @param matrix/*from  ww  w  . j  a v a  2  s  .co  m*/
 *          Mat of type CV_8UC3 or CV_8UC1
 *
 * @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY
 *
 * @throws SimpleSmartSpacesException
 *           the OpenCV Mat type is not supported
 */
public static BufferedImage matToBufferedImage(Mat matrix) throws SimpleSmartSpacesException {
    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;
        for (int i = 0; i < data.length; i = i + 3) {
            byte b = data[i];
            data[i] = data[i + 2];
            data[i + 2] = b;
        }
        break;
    default:
        throw new SimpleSmartSpacesException("The OpenCV Mat type is not supported");
    }

    BufferedImage image = new BufferedImage(cols, rows, type);
    image.getRaster().setDataElements(0, 0, cols, rows, data);

    return image;
}

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