Example usage for org.opencv.objdetect CascadeClassifier detectMultiScale

Introduction

In this page you can find the example usage for org.opencv.objdetect CascadeClassifier detectMultiScale.

Prototype

public void detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags,
            Size minSize, Size maxSize) 

Source Link

Usage

From source file:com.raulh82vlc.face_detection_sample.opencv.domain.EyesDetectionInteractorImpl.java

License:Apache License

/**
 * <p>Build a template from a specific eye area previously substracted
 * uses detectMultiScale for this area, then uses minMaxLoc method to
 * detect iris from the detected eye</p>
 *
 * @param area Preformatted Area//from ww  w  .j a  v a  2 s .c  o m
 * @param size minimum iris size
 * @param grayMat image in gray
 * @param rgbaMat image in color
 * @param detectorEye Haar Cascade classifier
 * @return built template
 */
@NonNull
private static Mat buildTemplate(Rect area, final int size, @NonNull Mat grayMat, @NonNull Mat rgbaMat,
        CascadeClassifier detectorEye) {
    Mat template = new Mat();
    Mat graySubMatEye = grayMat.submat(area);
    MatOfRect eyes = new MatOfRect();
    Rect eyeTemplate;
    detectorEye.detectMultiScale(graySubMatEye, eyes, 1.15, 2,
            Objdetect.CASCADE_FIND_BIGGEST_OBJECT | Objdetect.CASCADE_SCALE_IMAGE,
            new Size(EYE_MIN_SIZE, EYE_MIN_SIZE), new Size());

    Rect[] eyesArray = eyes.toArray();
    if (eyesArray.length > 0) {
        Rect e = eyesArray[0];
        e.x = area.x + e.x;
        e.y = area.y + e.y;
        Rect eyeRectangle = getEyeArea((int) e.tl().x, (int) (e.tl().y + e.height * 0.4), e.width,
                (int) (e.height * 0.6));
        graySubMatEye = grayMat.submat(eyeRectangle);
        Mat rgbaMatEye = rgbaMat.submat(eyeRectangle);

        Core.MinMaxLocResult minMaxLoc = Core.minMaxLoc(graySubMatEye);

        FaceDrawerOpenCV.drawIrisCircle(rgbaMatEye, minMaxLoc);
        Point iris = new Point();
        iris.x = minMaxLoc.minLoc.x + eyeRectangle.x;
        iris.y = minMaxLoc.minLoc.y + eyeRectangle.y;
        eyeTemplate = getEyeArea((int) iris.x - size / 2, (int) iris.y - size / 2, size, size);
        FaceDrawerOpenCV.drawEyeRectangle(eyeTemplate, rgbaMat);
        template = (grayMat.submat(eyeTemplate)).clone();
    }
    return template;
}

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From source file:dr.Interface.java

private void detect_BtnMouseClicked(java.awt.event.MouseEvent evt) {//GEN-FIRST:event_detect_BtnMouseClicked

    if (file != null) {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

        CascadeClassifier faceDetector = new CascadeClassifier(HAAR_FILE_PATH);
        CascadeClassifier eyeDetector = new CascadeClassifier("src//dr//haarcascade_eye.xml");

        Mat image = Highgui.imread(file.getAbsolutePath());
        MatOfRect faceDetections = new MatOfRect();
        MatOfRect eyeDetections = new MatOfRect();

        faceDetector.detectMultiScale(image, faceDetections, scale, minN, 0, min, max);

        for (Rect rect : faceDetections.toArray()) {
            Core.rectangle(image, new Point(rect.x, rect.y),
                    new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
        }// ww w  . j a v a 2  s . c  o m
        if (eye_detection.isSelected()) {

            eyeDetector.detectMultiScale(image, eyeDetections, e_scale, e_minN, 0, e_min, e_max);
            for (Rect rect : eyeDetections.toArray()) {
                Core.circle(image, new Point(rect.x + rect.width / 2, rect.y + rect.width / 2), rect.width / 2,
                        new Scalar(255, 0, 255));
                Core.circle(image, new Point(rect.x + rect.width / 2, rect.y + rect.width / 2),
                        rect.width / 2 + 1, new Scalar(255, 0, 255));
                Core.circle(image, new Point(rect.x + rect.width / 2, rect.y + rect.width / 2),
                        rect.width / 2 + 1, new Scalar(255, 0, 255));
            }
        }
        String filename = file.getAbsolutePath().substring(0, file.getAbsolutePath().lastIndexOf("\\"))
                + "\\out.png";
        Highgui.imwrite(filename, image);
        BufferedImage i;
        try {
            if ((i = ImageIO.read(new File(filename))) != null) {
                current_image = i;
                loadImage_Lbl.setIcon(new ImageIcon(resize_image(i)));
            } else {
                JOptionPane.showMessageDialog(this, "Nu s-a detectat nimic!", "Info",
                        JOptionPane.INFORMATION_MESSAGE);
            }
        } catch (IOException ex) {
            Logger.getLogger(Interface.class.getName()).log(Level.SEVERE, null, ex);
        }
    }
}

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