Example usage for org.opencv.core Mat Mat

Introduction

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

Prototype

public Mat()

Source Link

Usage

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Applies morphological erosion.//w w w .  ja  v  a2  s . c  o m
 *
 * @param src - source image.
 * @param radius - radius of structure element.
 * @return eroded image.
 */
public static Mat erode(Mat src, int radius) {
    Mat dest = new Mat();
    int kernelSize = radius * 2 + 1;
    Mat kernel = getStructuringElement(Imgproc.CV_SHAPE_ELLIPSE, new Size(kernelSize, kernelSize),
            new Point(radius, radius));
    Imgproc.erode(src, dest, kernel);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Applies morphological dilation./*from w w  w.  j  a va2  s. c o m*/
 *
 * @param src - source image.
 * @param radius - radius of structure element.
 * @return dilated image.
 */
public static Mat dilate(Mat src, int radius) {
    Mat dest = new Mat();
    int kernelSize = radius * 2 + 1;
    Mat kernel = getStructuringElement(Imgproc.CV_SHAPE_ELLIPSE, new Size(kernelSize, kernelSize),
            new Point(radius, radius));
    Imgproc.dilate(src, dest, kernel);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

public static Mat xor(Mat first, Mat second) {
    Mat dest = new Mat();
    Core.bitwise_xor(first, second, dest);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

public static Mat and(Mat first, Mat second) {
    Mat dest = new Mat();
    Core.bitwise_and(first, second, dest);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

public static Mat or(Mat first, Mat second) {
    Mat dest = new Mat();
    Core.bitwise_or(first, second, dest);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Equalizes a histogram for the image (color).
 *
 * @param src - color image to be applyed auto contrast.
 * @return the source image with equalized histogram.
 *//*from w ww .  j  ava  2  s.com*/
public static Mat equalize(Mat src) {
    Mat dest = new Mat();
    Imgproc.equalizeHist(grayscale(src), dest);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Remove all small contours on binary image with areas less than specified threshold.
 *
 * @param src - binary source image./*from   w w w.j  a v  a2 s  . c o m*/
 * @param thresh - minimum area of contour.
 * @return a source image with removed all contours with area less than {@param thresh}.
 */
public static Mat clearContours(Mat src, int thresh) {
    if (src.channels() > 1)
        return src;

    Mat dest = src.clone();
    List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
    Mat hierarchy = new Mat();

    findContours(src, contours, hierarchy, Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_TC89_L1);

    Mat maskWhite = new Mat(src.rows(), src.cols(), CvType.CV_8UC1, new Scalar(255));
    Mat maskBlack = maskWhite.clone();

    for (int i = 0; i < contours.size(); i++) {
        Double contourArea = contourArea(contours.get(i));

        if (contourArea < thresh) {
            int pixelColor = averageIntensity(src, contours.get(i));
            drawContours(pixelColor > 127 ? maskWhite : maskBlack, contours, i, new Scalar(0), Core.FILLED);
        }
    }

    maskWhite = erode(maskWhite, 2);
    maskBlack = erode(maskBlack, 2);
    dest = and(maskWhite, dest);
    dest = or(invert(maskBlack), dest);

    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Apply Gaussian blur on source image.// ww w. j a  v  a 2s .c  o  m
 *
 * @param src - source image.
 * @param size - kernel's size (must be odd).
 * @return image with applied Gaussian blur.
 */
public static Mat gaussianBlur(Mat src, int size) {
    Mat dest = new Mat();
    GaussianBlur(src, dest, new Size(size, size), 1.4, 1.4);
    return dest;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Apply Canny edge detector for image with given min and max thresholds.
 *
 * @param src - source image for applying filter.
 * @param minThresh - minimal threshold for filter.
 * @param maxThresh - maximum threshold for filter.
 * @return output image after applying Canny filter for {@param src} image.
 *//*from   www .j a  va2  s .c  om*/
public static Mat cannyFilter(Mat src, int minThresh, int maxThresh) {
    Mat result = new Mat();

    minThresh = Math.min(Math.max(minThresh, 0), 255);
    maxThresh = Math.max(Math.min(maxThresh, 255), 0);

    Mat blurredImage = gaussianBlur(grayscale(src), 9);
    Canny(blurredImage, result, minThresh, maxThresh, 3, true);

    return result;
}

From source file:com.astrocytes.core.operationsengine.CoreOperations.java

License:Open Source License

/**
 * Draw all contours of source image./*  w ww  . j av a 2 s.  c  om*/
 *
 * @param src - source image.
 * @return binary image with black background and white contours.
 */
public static int drawAllContours(Mat src, Mat dest) {
    List<MatOfPoint> contours = new ArrayList<MatOfPoint>();

    findContours(grayscale(src), contours, new Mat(), Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_TC89_L1);
    for (int i = 0; i < contours.size(); i++) {
        drawContours(dest, contours, i, new Scalar(255));
    }

    return contours.size();
}