Example usage for org.opencv.core Mat size

Introduction

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

Prototype

public Size size() 

Source Link

Usage

From source file:org.lasarobotics.vision.image.Transform.java

License:Open Source License

/**
 * Scale an image by a scale factor//  w  ww . j  av a  2s . com
 *
 * @param img    The image to scale
 * @param factor The scale factor. If greater than 1, image will dilate. Otherwise,
 *               image will constrict.
 */
private static void scale(Mat img, double factor) {
    resize(img, new Size(img.size().width * factor, img.size().height * factor));
}

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From source file:org.lasarobotics.vision.image.Transform.java

License:Open Source License

/**
 * Scales an image to an approximate size. The scale will always be equal
 * on the x and y axis, regardless of the approxSize.
 *
 * @param img          The image//from www .ja v  a  2  s. c om
 * @param approxSize   The target size
 * @param maximize     If maximize is true, then if the approxSize aspect ratio
 *                     does not match the target, then the largest possible image
 *                     would be used. If false (default), the the smallest image
 *                     would be used.
 * @param integerScale If true (default), then only integer scale factors would be used.
 *                     Otherwise, any scale factor can be used.
 */
private static double makeScale(Mat img, Size approxSize, boolean maximize, boolean integerScale) {
    Size imageSize = img.size();
    double ratioWidth = approxSize.width / imageSize.width;
    double ratioHeight = approxSize.height / imageSize.height;
    double ratio = maximize ? Math.max(ratioWidth, ratioHeight) : Math.min(ratioWidth, ratioHeight);
    if (MathUtil.equal(ratio, 1))
        return 1;
    if (integerScale) {
        //The scale factor is always greater than 1
        double scale = (ratio < 1) ? 1 / ratio : ratio;
        //If you are actually increasing the size of the object, use ceiling()
        //Otherwise, use floor()
        scale = maximize ^ (ratio < 1) ? Math.ceil(scale) : Math.floor(scale);
        //Get the actual ratio again
        return (ratio < 1) ? 1 / scale : scale;
    } else {
        return ratio;
    }
}

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From source file:org.lasarobotics.vision.image.Transform.java

License:Open Source License

private static void resize(Mat img, Size size) {
    int interpolation;
    if (MathUtil.equal(size.area(), img.size().area()))
        return;/*from   w ww .ja v  a  2  s .  c  o m*/
    else if (size.width > img.size().width && size.height > img.size().height)
        interpolation = Imgproc.CV_INTER_CUBIC; //enlarge image
    else if (size.width < img.size().width && size.height < img.size().height)
        interpolation = Imgproc.CV_INTER_AREA; //shrink image
    else
        interpolation = Imgproc.CV_INTER_LINEAR; //not entirely sure, so use safe option
    Imgproc.resize(img, img, size, 0, 0, interpolation);
}

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From source file:org.openpnp.machine.reference.ReferenceCamera.java

License:Open Source License

private Mat crop(Mat mat) {
    if (cropWidth != 0 || cropHeight != 0) {
        Rect roi = new Rect((int) ((mat.size().width / 2) - (cropWidth / 2)),
                (int) ((mat.size().height / 2) - (cropHeight / 2)), cropWidth, cropHeight);
        Mat tmp = new Mat(mat, roi);
        tmp.copyTo(mat);/*from  w  w  w.j  a  va2s  . c  o  m*/
        tmp.release();
    }
    return mat;
}

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From source file:org.openpnp.machine.reference.ReferenceCamera.java

License:Open Source License

private Mat rotate(Mat mat, double rotation) {
    if (rotation == 0D) {
        return mat;
    }/*from  w  w  w .ja va 2s  .c  o  m*/

    // See:
    // http://stackoverflow.com/questions/22041699/rotate-an-image-without-cropping-in-opencv-in-c
    Point center = new Point(mat.width() / 2D, mat.height() / 2D);
    Mat mapMatrix = Imgproc.getRotationMatrix2D(center, rotation, 1.0);

    // determine bounding rectangle
    Rect bbox = new RotatedRect(center, mat.size(), rotation).boundingRect();
    // adjust transformation matrix
    double[] cx = mapMatrix.get(0, 2);
    double[] cy = mapMatrix.get(1, 2);
    cx[0] += bbox.width / 2D - center.x;
    cy[0] += bbox.height / 2D - center.y;
    mapMatrix.put(0, 2, cx);
    mapMatrix.put(1, 2, cy);

    Mat dst = new Mat(bbox.width, bbox.height, mat.type());
    Imgproc.warpAffine(mat, dst, mapMatrix, bbox.size(), Imgproc.INTER_LINEAR);
    mat.release();

    mapMatrix.release();

    return dst;
}

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From source file:org.openpnp.machine.reference.ReferenceCamera.java

License:Open Source License

private Mat offset(Mat mat, int offsetX, int offsetY) {
    if (offsetX == 0D && offsetY == 0D) {
        return mat;
    }//from  ww  w  .  j  av a2  s . c o  m

    Mat mapMatrix = new Mat(2, 3, CvType.CV_32F) {
        {
            put(0, 0, 1, 0, offsetX);
            put(1, 0, 0, 1, offsetY);
        }
    };

    Mat dst = mat.clone();
    Imgproc.warpAffine(mat, dst, mapMatrix, mat.size(), Imgproc.INTER_LINEAR);
    mat.release();

    mapMatrix.release();

    return dst;
}

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From source file:org.openpnp.machine.reference.ReferenceCamera.java

License:Open Source License

private Mat undistort(Mat mat) {
    if (!calibration.isEnabled()) {
        return mat;
    }//from  ww w .  j  a v  a  2 s .c o  m

    if (undistortionMap1 == null || undistortionMap2 == null) {
        undistortionMap1 = new Mat();
        undistortionMap2 = new Mat();
        Mat rectification = Mat.eye(3, 3, CvType.CV_32F);
        Imgproc.initUndistortRectifyMap(calibration.getCameraMatrixMat(),
                calibration.getDistortionCoefficientsMat(), rectification, calibration.getCameraMatrixMat(),
                mat.size(), CvType.CV_32FC1, undistortionMap1, undistortionMap2);
        rectification.release();
    }

    Mat dst = mat.clone();
    Imgproc.remap(mat, dst, undistortionMap1, undistortionMap2, Imgproc.INTER_LINEAR);
    mat.release();

    return dst;
}

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From source file:org.pattern.detection.contour.ContourDetectionAlgorithm.java

@Override
public List<? extends Particle> detectAndAssign(ParticleImage image) {

    // take the copy of image that we dont modify the original
    Mat img = new Mat();
    image.getPixels().copyTo(img);/*from  www.  j a  v a2s.  c om*/
    // blur the image to denoise
    //Imgproc.blur(imagePixels, imagePixels, new Size(3, 3));

    // thresholds the image
    Mat thresholded = new Mat();
    //        Imgproc.threshold(imagePixels, thresholded,
    //                THRESHOLD, MAX, Imgproc.THRESH_TOZERO_INV);

    // thresholding
    Imgproc.adaptiveThreshold(img, thresholded, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,
            Imgproc.THRESH_BINARY_INV, 155, 15);
    Highgui.imwrite("1_thresholded.jpg", thresholded);

    Mat edges = new Mat();
    Imgproc.Canny(img, edges, 100, 200);
    Highgui.imwrite("1_canny.jpg", edges);

    // remove small noises
    //        Mat kernel = Mat.ones(new Size(3, 3), CvType.CV_8UC1);
    Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_CROSS, new Size(5, 5));

    Imgproc.morphologyEx(thresholded, thresholded, Imgproc.MORPH_OPEN, kernel);
    Highgui.imwrite("2_opening.jpg", thresholded);

    //        Imgproc.erode(thresholded, thresholded, kernel, ORIGIN, 3);
    //        Highgui.imwrite("3_erode.jpg", thresholded);

    Mat distTransform = new Mat();
    Imgproc.distanceTransform(thresholded, distTransform, Imgproc.CV_DIST_C, 5);
    distTransform.convertTo(distTransform, CvType.CV_8UC1);
    Imgproc.equalizeHist(distTransform, distTransform);
    Highgui.imwrite("4_distance_transform.jpg", distTransform);

    Mat markerMask = Mat.zeros(img.size(), CvType.CV_8UC1);
    double max = Core.minMaxLoc(distTransform).maxVal;
    Imgproc.threshold(distTransform, markerMask, max * 0.9, 255, Imgproc.THRESH_BINARY);
    markerMask.convertTo(markerMask, CvType.CV_8UC1);
    Highgui.imwrite("5_thresholded_distance.jpg", markerMask);

    List<MatOfPoint> contours = new ArrayList<>();
    Imgproc.findContours(markerMask, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE,
            ORIGIN);

    Mat markers = Mat.zeros(img.size(), CvType.CV_32S);
    //markers.setTo(Scalar.all(0));
    Random rand = new Random();
    for (int idx = 0; idx < contours.size(); idx++) {
        Scalar color = new Scalar(rand.nextInt(255), rand.nextInt(255), rand.nextInt(255));
        Imgproc.drawContours(markers, contours, idx, color, -1);
    }
    Highgui.imwrite("6_markers.jpg", markers);

    Imgproc.cvtColor(img, img, Imgproc.COLOR_GRAY2RGB);
    img.convertTo(img, CvType.CV_8UC3);
    Imgproc.watershed(img, markers);
    Highgui.imwrite("7_wattershed.jpg", markers);

    // detect contours
    //        List<MatOfPoint> contours = new ArrayList<>();
    Imgproc.findContours(thresholded, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE,
            ORIGIN);

    // create particle from each contour
    List<Particle> particles = new ArrayList<>();
    int i = 0;
    for (MatOfPoint contour : contours) {
        Point cog = calcCog(contour);
        if (!Double.isNaN(cog.x) && !Double.isNaN(cog.y)) {
            System.out.println(cog);
            Particle p = new Particle(cog, contour);
            particles.add(p); // just for reorting reasons
            image.assign(p);
        }
    }

    return particles;
}

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From source file:org.sikuli.script.Finder.java

License:MIT License

private Mat doFindMatch(Probe probe, Mat base, Mat target) {
    Mat res = new Mat();
    Mat bi = new Mat();
    Mat pi = new Mat();
    if (!probe.img.isPlainColor()) {
        Imgproc.matchTemplate(base, target, res, Imgproc.TM_CCOEFF_NORMED);
    } else {//from  www.  ja v a2 s .  c o  m
        if (probe.img.isBlack()) {
            Core.bitwise_not(base, bi);
            Core.bitwise_not(target, pi);
        } else {
            bi = base;
            pi = target;
        }
        Imgproc.matchTemplate(bi, pi, res, Imgproc.TM_SQDIFF_NORMED);
        Core.subtract(Mat.ones(res.size(), CvType.CV_32F), res, res);
    }
    return res;
}

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From source file:org.sikuli.script.ImageFind.java

License:MIT License

private Core.MinMaxLocResult doFindMatch(Mat base, Mat probe) {
    Mat res = new Mat();
    Mat bi = new Mat();
    Mat pi = new Mat();
    if (!isPlainColor) {
        Imgproc.matchTemplate(base, probe, res, Imgproc.TM_CCOEFF_NORMED);
    } else {/*from w  w w .  j  av  a2 s  .  c  o m*/
        if (isBlack) {
            Core.bitwise_not(base, bi);
            Core.bitwise_not(probe, pi);
        } else {
            bi = base;
            pi = probe;
        }
        Imgproc.matchTemplate(bi, pi, res, Imgproc.TM_SQDIFF_NORMED);
        Core.subtract(Mat.ones(res.size(), CvType.CV_32F), res, res);
    }
    return Core.minMaxLoc(res);
}

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