Example usage for org.opencv.core Core convertScaleAbs

Introduction

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

Prototype

public static void convertScaleAbs(Mat src, Mat dst, double alpha, double beta) 

Source Link

Usage

From source file:logic.imagelocalizator.EyeBrowsLocalizator.java

private boolean detectEyeBrowBoundRect(MatContainer mc) {
    int eyePairW = mc.eyePairRect.width;
    int eyePairH = mc.eyePairRect.height;

    //contains eyebrow bounding rectangles
    Rect boundRectArr[] = new Rect[2];

    //for each eyebrow
    Mat binMat = new Mat();
    for (int i = 0; i < 2; ++i) {
        mc.eyeBrowMatArr[i] = mc.grayFrame.submat(mc.eyeBrowRectArr[i]);
        Scalar meanScalar = Core.mean(mc.eyeBrowMatArr[i]);
        //negate image
        Core.convertScaleAbs(mc.eyeBrowMatArr[i], mc.eyeBrowMatArr[i], 1, 255 - meanScalar.val[0]);
        Imgproc.equalizeHist(mc.eyeBrowMatArr[i], mc.eyeBrowMatArr[i]);
        Imgproc.blur(mc.eyeBrowMatArr[i], mc.eyeBrowMatArr[i], new Size(4, 4));

        //obtain binary image
        Imgproc.threshold(mc.eyeBrowMatArr[i], binMat, 70, 255, Imgproc.THRESH_BINARY_INV);

        Imgproc.morphologyEx(binMat, binMat, Imgproc.MORPH_OPEN,
                Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(4, 4)));

        //find contours
        List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
        Imgproc.findContours(binMat, contours, new Mat(), Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);

        //find the biggest contour
        int maxSize = -1;
        int tmpSize = -1;
        int index = -1;

        if (contours.size() != 0) {
            maxSize = contours.get(0).toArray().length;
            tmpSize = 0;/*from w ww  .ja  v a  2  s  . com*/
            index = 0;
        }

        //find max contour
        for (int j = 0; j < contours.size(); ++j) {
            //if contour is vertical, exclude it 
            Rect boundRect = Imgproc.boundingRect(contours.get(j));
            if (boundRect.height > boundRect.width)
                continue;

            if ((double) boundRect.height
                    / (double) mc.eyeBrowRectArr[i].height > Parameters.eyebrowBoundRectThresh) {
                LOG.warn("Reset brow rect");
                mc.eyeBrowBoundRectArr[i] = null;
                return false;
            }

            tmpSize = contours.get(j).toArray().length;

            LOG.info("Contour " + j + "; size = " + tmpSize);

            if (tmpSize > maxSize) {
                maxSize = tmpSize;
                index = j;
            }
        }

        binMat.setTo(new Scalar(0));
        boundRectArr[i] = Imgproc.boundingRect(contours.get(index));

        //save eyebrow bounding rectangle
        mc.eyeBrowBoundRectArr[i] = new Rect(mc.eyeBrowRectArr[i].x + boundRectArr[i].x,
                mc.eyeBrowRectArr[i].y + boundRectArr[i].y, boundRectArr[i].width, boundRectArr[i].height);

        //save binary eyebrow Mat for further FP detection (skeletonization)
        mc.eyeBrowBinMatArr[0] = binMat;

        //define tracking template for eyebrow
        mc.eyeBrowTrackingTemplateArr[i] = mc.grayFrame.submat(mc.eyeBrowBoundRectArr[i]);
    }

    //compute eyebrow interrocular distance
    mc.eyeBrowBaseDst = Math.abs(mc.eyeBrowBoundRectArr[0].x + mc.eyeBrowBoundRectArr[0].width / 2
            - (mc.eyeBrowBoundRectArr[1].x + mc.eyeBrowBoundRectArr[1].width / 2));

    LOG.info("eyeBrowBaseDst = " + mc.eyeBrowBaseDst);

    //define new bound rect centers for tracking template
    mc.eyeBrowCentersPointsArr = new Point[2];

    return true;
}

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From source file:logic.localizator.EyeBrowsLocalizator.java

private boolean detectEyeBrowBoundRect(MatContainer mc) {
    int eyePairW = mc.eyePairRect.width;
    int eyePairH = mc.eyePairRect.height;

    //contains eyebrow bounding rectangles
    Rect boundRectArr[] = new Rect[2];

    //for each eyebrow
    Mat binMat = new Mat();
    for (int i = 0; i < 2; ++i) {
        mc.eyeBrowMatArr[i] = mc.grayFrame.submat(mc.eyeBrowRectArr[i]);
        Scalar meanScalar = Core.mean(mc.eyeBrowMatArr[i]);
        //negate image
        Core.convertScaleAbs(mc.eyeBrowMatArr[i], mc.eyeBrowMatArr[i], 1, 255 - meanScalar.val[0]);
        Imgproc.equalizeHist(mc.eyeBrowMatArr[i], mc.eyeBrowMatArr[i]);
        Imgproc.blur(mc.eyeBrowMatArr[i], mc.eyeBrowMatArr[i], new Size(4, 4));

        //obtain binary image
        Imgproc.threshold(mc.eyeBrowMatArr[i], binMat, 70, 255, Imgproc.THRESH_BINARY_INV);

        Imgproc.morphologyEx(binMat, binMat, Imgproc.MORPH_OPEN,
                Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(4, 4)));

        //find contours
        List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
        Imgproc.findContours(binMat, contours, new Mat(), Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);

        //find the biggest contour
        int maxSize = -1;
        int tmpSize = -1;
        int index = -1;

        if (contours.size() != 0) {
            maxSize = contours.get(0).toArray().length;
            tmpSize = 0;/*w  ww  .  jav a2s  .  co m*/
            index = 0;
        }

        //find max contour
        for (int j = 0; j < contours.size(); ++j) {
            //if contour is vertical, exclude it 
            Rect boundRect = Imgproc.boundingRect(contours.get(j));
            if (boundRect.height > boundRect.width)
                continue;

            if ((double) boundRect.height
                    / (double) mc.eyeBrowRectArr[i].height > Parameters.eyebrowBoundRectThresh) {
                LOG.warn("Reset brow rect");
                mc.eyeBrowBoundRectArr[i] = null;
                return false;
            }

            tmpSize = contours.get(j).toArray().length;

            LOG.info("Contour " + j + "; size = " + tmpSize);

            if (tmpSize > maxSize) {
                maxSize = tmpSize;
                index = j;
            }
        }

        binMat.setTo(new Scalar(0));
        boundRectArr[i] = Imgproc.boundingRect(contours.get(index));

        //save eyebrow bounding rectangle
        mc.eyeBrowBoundRectArr[i] = new Rect(mc.eyeBrowRectArr[i].x + boundRectArr[i].x,
                mc.eyeBrowRectArr[i].y + boundRectArr[i].y, boundRectArr[i].width, boundRectArr[i].height);

        //save binary eyebrow Mat for further FP detection (skeletonization)
        mc.eyeBrowBinMatArr[0] = binMat;

        //define tracking template for eyebrow
        mc.eyeBrowTrackingTemplateArr[i] = mc.grayFrame.submat(mc.eyeBrowBoundRectArr[i]); //local rectangle
    }

    //compute eyebrow interrocular distance
    mc.eyeBrowBaseDst = Math.abs(mc.eyeBrowBoundRectArr[0].x + mc.eyeBrowBoundRectArr[0].width / 2
            - (mc.eyeBrowBoundRectArr[1].x + mc.eyeBrowBoundRectArr[1].width / 2));

    LOG.info("eyeBrowBaseDst = " + mc.eyeBrowBaseDst);

    //define new bound rect centers for tracking template
    mc.eyeBrowCentersPointsArr = new Point[2];

    //save eyebrow centers
    //left-right
    Point p1 = new Point(
            mc.eyePairGlobalRect.x + mc.eyeBrowBoundRectArr[0].x + mc.eyeBrowBoundRectArr[0].width / 2,
            mc.eyePairGlobalRect.y + mc.eyeBrowBoundRectArr[0].y + mc.eyeBrowBoundRectArr[0].height / 2);

    Point p2 = new Point(
            mc.eyePairGlobalRect.x + mc.eyeBrowBoundRectArr[1].x + mc.eyeBrowBoundRectArr[1].width / 2,
            mc.eyePairGlobalRect.y + mc.eyeBrowBoundRectArr[1].y + mc.eyeBrowBoundRectArr[1].height / 2);

    Point[] pointArr = new Point[2];
    pointArr[0] = p1;
    pointArr[1] = p2;

    mc.features.eyeBrowCenterPointArr = pointArr;

    return true;
}

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