kmeans in Android (Java)-

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Hi,

I've tried to use kmeans function, but something is not clear to me.

Lets say that I have an array of points and I want to center all of them to four points :

topLeft, topRight, bottomeft, bottomRight.

How I can achieve it ? I tried to make it work, but failed to understand (for now)..

also, It's very hard to understand what is happening on the Mat's.. No option to print/see the actual Mat on some console / or in deug mode ?

Thank's !!

the code:

public void colorMask(View view)
{
    //Image Input :
    Bitmap one =
            drawableToBitmap(getResources().getDrawable(R.drawable.dsc_1304_cutted_bigger, this.getTheme()));
    Mat img1 = new Mat();
    Utils.bitmapToMat(one, img1, true);// moving one to img1 Mat structure.


    // downsize the image.
    Mat pyrDowntmp = new Mat();
    Imgproc.resize(img1, pyrDowntmp, new Size(img1.cols() / 4, img1.rows() / 4));
    img1.release();

    Mat pyrDown = new Mat();
    cvtColor(pyrDowntmp, pyrDown, COLOR_RGBA2RGB);
    pyrDowntmp.release();


    List<Point> intersections1 = new ArrayList<>();


    org.opencv.core.Point pointsArray[] = new org.opencv.core.Point[ intersections1.size() ];
    intersections1.toArray(pointsArray);


    Mat intersections = new Mat();
    Mat intersections32f = new Mat();


    // draw all the intersections. (see it ok)
    for (Point point: pointsArray)
    {
        // draw on the actual image:
        circle(pyrDown, point, 5, new Scalar(255, 0, 0), 2);//Red

        // want to draw it on a Mat that will be given to kmeans as data mat.

        // tried to draw on a mat:
        circle(intersections, point, 5, new Scalar(255, 0, 0), 2);

        // tried to 'put' on 32f Mat.
        //(the first two parameters - issue an error.('need double')
        intersections32f.put(point.x, point.y, 1.0);
    }



    intersections.convertTo(intersections32f, CvType.CV_32F);

    // want to find the 4 corners of the points..
    Mat labels = Mat.zeros(intersections32f.rows(), intersections32f.cols(), CvType.CV_32F);

    labels.put(0, 0, 1.0); // topLeft

    labels.put(0, labels.rows() - 1, 1); // bottomLeft

    labels.put(labels.cols() - 1, 0, 1); // topRight

    labels.put(labels.rows() - 1, labels.cols() - 1, 1); // bottomRight


    TermCriteria criteria = new TermCriteria(TermCriteria.COUNT, 100, 1);
    int attempts = 50;
    int flags = Core.KMEANS_PP_CENTERS;
    Mat centers = new Mat();
    double res = kmeans(intersections32f, 4, labels, criteria, attempts, flags, centers);


    Bitmap imageMatched = Bitmap.createBitmap(centers.cols(), centers.rows(), Bitmap.Config.RGB_565);
    Utils.matToBitmap(centers, imageMatched);
    imageViewMy.setImageBitmap(imageMatched);

    /*
    public static double kmeans(@NotNull Mat data,
    int K,
    @NotNull Mat bestLabels,
    @NotNull TermCriteria criteria,
    int attempts,
    int flags)
    */


}