Example usage for org.opencv.imgproc Imgproc erode

Introduction

In this page you can find the example usage for org.opencv.imgproc Imgproc erode.

Prototype

public static void erode(Mat src, Mat dst, Mat kernel, Point anchor, int iterations) 

Source Link

Usage

From source file:classes.BlobsFinder.java

public void findBlobContours() {

    Mat grayImage = new Mat();
    Imgproc.cvtColor(image, grayImage, Imgproc.COLOR_BGR2GRAY);
    ImageUtils.saveImage(grayImage, outImageName + "_grayImage.png", request);

    Mat gaussianImage = new Mat();
    Imgproc.GaussianBlur(grayImage, gaussianImage, new Size(0, 0), 3);
    Core.addWeighted(grayImage, 1.5, gaussianImage, -1, 0, gaussianImage);
    ImageUtils.saveImage(gaussianImage, outImageName + "_gaussianGrayImage.png", request);

    Mat binaryImage = new Mat();
    Imgproc.adaptiveThreshold(gaussianImage, binaryImage, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,
            Imgproc.THRESH_BINARY_INV, 15, 4);
    ImageUtils.saveImage(binaryImage, outImageName + "_binaryImage.png", request);

    Mat erodedImage = new Mat();

    binaryImage.copyTo(erodedImage);//w  ww .j av a2 s.  c o m

    Mat structuringElement = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3, 3));
    Point anchor = new Point(-1, -1);

    Imgproc.morphologyEx(erodedImage, erodedImage, Imgproc.MORPH_CLOSE, structuringElement, anchor, 1);
    ImageUtils.saveImage(erodedImage, outImageName + "_erodedImage.png", request);

    List<MatOfPoint> contours = new ArrayList<MatOfPoint>();

    Imgproc.findContours(erodedImage, contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);

    Mat originalContoursImage = new Mat(image.size(), CvType.CV_8UC1, new Scalar(0));
    Scalar contourColor = new Scalar(255);
    int thickness = -1; // Thicknes should be lower than zero in order to drawn the filled contours
    Imgproc.drawContours(originalContoursImage, contours, -1, contourColor, thickness); // Drawing all the contours found
    ImageUtils.saveImage(originalContoursImage, outImageName + "_originalContoursImage.png", request);

    Mat erodedContoursImage = new Mat();
    Imgproc.erode(originalContoursImage, erodedContoursImage, structuringElement, anchor, 1);
    ImageUtils.saveImage(erodedContoursImage, outImageName + "_erodedContoursImage.png", request);

    ArrayList<MatOfPoint> finalContours = new ArrayList<MatOfPoint>();
    Mat finalContourImage = new Mat(image.size(), CvType.CV_8UC1, new Scalar(0));
    Imgproc.findContours(erodedContoursImage, finalContours, new Mat(), Imgproc.RETR_EXTERNAL,
            Imgproc.CHAIN_APPROX_SIMPLE);

    for (int i = 0; i < finalContours.size(); i++) {
        MatOfPoint currentContour = finalContours.get(i);
        double area = Imgproc.contourArea(currentContour);
        if (area > MIN_AREA) {

            validContours.add(currentContour);

            String fabricPath = generateFabricPathString(currentContour);
            contourPaths.add(fabricPath);

            Rect boundingRect = Imgproc.boundingRect(currentContour);
            topLeftCorners.add(boundingRect.tl());

            contoursAreas.add(area);
        }
    }

    // Drawing ALL the valid contours
    Imgproc.drawContours(finalContourImage, validContours, -1, contourColor, thickness);
    ImageUtils.saveImage(finalContourImage, outImageName + "_finalContourImage.png", request);

}

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From source file:fuzzycv.MainFrame.java

private Mat removeBG(Mat frame) {

    Mat hsvImg = new Mat();
    List<Mat> hsvPlanes = new ArrayList<>();
    Mat thresholdImg = new Mat();

    //threshold the image with the histogram average value
    hsvImg.create(frame.size(), CvType.CV_8U);
    Imgproc.cvtColor(frame, hsvImg, Imgproc.COLOR_BGR2HSV);
    Core.split(hsvImg, hsvPlanes);/* ww w .ja  v a  2  s.  c o  m*/

    double threshValue = getHistoAvg(hsvImg, hsvPlanes.get(0));

    if (inverseCheckBox.isSelected()) {
        Imgproc.threshold(hsvPlanes.get(0), thresholdImg, threshValue, 179.0, Imgproc.THRESH_BINARY_INV);
    } else {
        Imgproc.threshold(hsvPlanes.get(0), thresholdImg, threshValue, 179.0, Imgproc.THRESH_BINARY);
    }

    Imgproc.blur(thresholdImg, thresholdImg, new Size(5, 5));

    // dilate to fill gaps, erode to smooth edges
    Imgproc.dilate(thresholdImg, thresholdImg, new Mat(), new Point(-1, 1), 6);
    Imgproc.erode(thresholdImg, thresholdImg, new Mat(), new Point(-1, 1), 6);

    Imgproc.threshold(thresholdImg, thresholdImg, threshValue, 179.0, Imgproc.THRESH_BINARY);

    // create the new image
    Mat foreground = new Mat(frame.size(), CvType.CV_8UC3, new Scalar(255, 255, 255));
    frame.copyTo(foreground, thresholdImg);

    return foreground;
}

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From source file:javafx1.JavaFX1.java

private Mat doBackgroundRemoval(Mat frame) {
        // init// ww w.j  a  v  a 2 s .c  o m
        Mat hsvImg = new Mat();
        List<Mat> hsvPlanes = new ArrayList<>();
        Mat thresholdImg = new Mat();

        int thresh_type = Imgproc.THRESH_BINARY_INV;
        //inverse
        thresh_type = Imgproc.THRESH_BINARY;

        // threshold the image with the average hue value
        hsvImg.create(frame.size(), CvType.CV_8U);
        Imgproc.cvtColor(frame, hsvImg, Imgproc.COLOR_BGR2HSV);
        Core.split(hsvImg, hsvPlanes);

        // get the average hue value of the image
        double threshValue = this.getHistAverage(hsvImg, hsvPlanes.get(0));

        Imgproc.threshold(hsvPlanes.get(0), thresholdImg, threshValue, 179.0, thresh_type);

        Imgproc.blur(thresholdImg, thresholdImg, new Size(5, 5));

        // dilate to fill gaps, erode to smooth edges
        Imgproc.dilate(thresholdImg, thresholdImg, new Mat(), new Point(-1, -1), 1);
        Imgproc.erode(thresholdImg, thresholdImg, new Mat(), new Point(-1, -1), 3);

        Imgproc.threshold(thresholdImg, thresholdImg, threshValue, 179.0, Imgproc.THRESH_BINARY);

        // create the new image
        Mat foreground = new Mat(frame.size(), CvType.CV_8UC3, new Scalar(255, 255, 255));
        frame.copyTo(foreground, thresholdImg);

        return foreground;
    }

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