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How to detect Hair inside rectangle Hair images?

I have write one code to detect hairs from head and get count. But not able to get exact result as per the image exist

image description image description

private boolean opencvProcessCount(Uri picFileUri) {
hairCount = 0;
totalC = 0;
//Log.e(">>>>>>>>","count " + picFileUri);
try {
    InputStream iStream = getContentResolver().openInputStream(picFileUri);
    byte[] im = getBytes(iStream);
    BitmapFactory.Options opt = new BitmapFactory.Options();
    opt.inDither = true;
    opt.inPreferredConfig = Bitmap.Config.ARGB_8888;
    Bitmap image = BitmapFactory.decodeByteArray(im, 0, im.length);

    Mat mYuv = new Mat();
    Utils.bitmapToMat(image, mYuv);
    Mat mRgba = new Mat();
    Imgproc.cvtColor(mYuv, mRgba, Imgproc.COLOR_RGB2GRAY, 4);
    Imgproc.Canny(mRgba, mRgba, 80, 90);
    Mat lines = new Mat();
    int threshold = 80;
    int minLineSize = 30;
    int lineGap = 100;

    Imgproc.HoughLinesP(mRgba, lines, 1, Math.PI/180, threshold, minLineSize, lineGap);

    for (int x = 0; x < lines.rows(); x++)
    {
        double[] vec = lines.get(x, 0);
        double x1 = vec[0],
                y1 = vec[1],
                x2 = vec[2],
                y2 = vec[3];
        Point start = new Point(x1, y1);
        Point end = new Point(x2, y2);
        double dx = x1 - x2;
        double dy = y1 - y2;

        double dist = Math.sqrt (dx*dx + dy*dy);
        totalC ++;
        Log.e(">>>>>>>>","dist " + dist);
        if(dist>300.d)
        {
            hairCount ++;
            // Log.e(">>>>>>>>","count " + x);
            Imgproc.line(mRgba, start, end, new Scalar(0,255, 0, 255),5);// here initimg is the original image.
        }// show those lines that have length greater than 300


    }

    Log.e(">>>>>>>>",totalC+" out hairCount " + hairCount);

    // Imgproc.
} catch (Throwable e) {
    // Log.e(">>>>>>>>","count " + e.getMessage());
    e.printStackTrace();
}
return false;

}

How to detect Hair inside rectangle Hair images?

I have write one code to detect hairs from head and get count. But not able to get exact result as per the image exist

image description image description

private boolean opencvProcessCount(Uri picFileUri) {
hairCount = 0;
totalC = 0;
//Log.e(">>>>>>>>","count " + picFileUri);
try {
    InputStream iStream = getContentResolver().openInputStream(picFileUri);
    byte[] im = getBytes(iStream);
    BitmapFactory.Options opt = new BitmapFactory.Options();
    opt.inDither = true;
    opt.inPreferredConfig = Bitmap.Config.ARGB_8888;
    Bitmap image = BitmapFactory.decodeByteArray(im, 0, im.length);

    Mat mYuv = new Mat();
    Utils.bitmapToMat(image, mYuv);
    Mat mRgba = new Mat();
    Imgproc.cvtColor(mYuv, mRgba, Imgproc.COLOR_RGB2GRAY, 4);
    Imgproc.Canny(mRgba, mRgba, 80, 90);
    Mat lines = new Mat();
    int threshold = 80;
    int minLineSize = 30;
    int lineGap = 100;

    Imgproc.HoughLinesP(mRgba, lines, 1, Math.PI/180, threshold, minLineSize, lineGap);

    for (int x = 0; x < lines.rows(); x++)
    {
        double[] vec = lines.get(x, 0);
        double x1 = vec[0],
                y1 = vec[1],
                x2 = vec[2],
                y2 = vec[3];
        Point start = new Point(x1, y1);
        Point end = new Point(x2, y2);
        double dx = x1 - x2;
        double dy = y1 - y2;

        double dist = Math.sqrt (dx*dx + dy*dy);
        totalC ++;
        Log.e(">>>>>>>>","dist " + dist);
        if(dist>300.d)
        {
            hairCount ++;
            // Log.e(">>>>>>>>","count " + x);
            Imgproc.line(mRgba, start, end, new Scalar(0,255, 0, 255),5);// here initimg is the original image.
        }// show those lines that have length greater than 300


    }

    Log.e(">>>>>>>>",totalC+" out hairCount " + hairCount);

    // Imgproc.
} catch (Throwable e) {
    // Log.e(">>>>>>>>","count " + e.getMessage());
    e.printStackTrace();
}
return false;

}

How to detect detect(Count) Hair inside rectangle Hair images?

I have write one code to detect hairs from head and get count. But not able to get exact result as per the image exist

image description image description

private boolean opencvProcessCount(Uri picFileUri) {
hairCount = 0;
totalC = 0;
//Log.e(">>>>>>>>","count " + picFileUri);
try {
    InputStream iStream = getContentResolver().openInputStream(picFileUri);
    byte[] im = getBytes(iStream);
    BitmapFactory.Options opt = new BitmapFactory.Options();
    opt.inDither = true;
    opt.inPreferredConfig = Bitmap.Config.ARGB_8888;
    Bitmap image = BitmapFactory.decodeByteArray(im, 0, im.length);

    Mat mYuv = new Mat();
    Utils.bitmapToMat(image, mYuv);
    Mat mRgba = new Mat();
    Imgproc.cvtColor(mYuv, mRgba, Imgproc.COLOR_RGB2GRAY, 4);
    Imgproc.Canny(mRgba, mRgba, 80, 90);
    Mat lines = new Mat();
    int threshold = 80;
    int minLineSize = 30;
    int lineGap = 100;

    Imgproc.HoughLinesP(mRgba, lines, 1, Math.PI/180, threshold, minLineSize, lineGap);

    for (int x = 0; x < lines.rows(); x++)
    {
        double[] vec = lines.get(x, 0);
        double x1 = vec[0],
                y1 = vec[1],
                x2 = vec[2],
                y2 = vec[3];
        Point start = new Point(x1, y1);
        Point end = new Point(x2, y2);
        double dx = x1 - x2;
        double dy = y1 - y2;

        double dist = Math.sqrt (dx*dx + dy*dy);
        totalC ++;
        Log.e(">>>>>>>>","dist " + dist);
        if(dist>300.d)
        {
            hairCount ++;
            // Log.e(">>>>>>>>","count " + x);
            Imgproc.line(mRgba, start, end, new Scalar(0,255, 0, 255),5);// here initimg is the original image.
        }// show those lines that have length greater than 300


    }

    Log.e(">>>>>>>>",totalC+" out hairCount " + hairCount);

    // Imgproc.
} catch (Throwable e) {
    // Log.e(">>>>>>>>","count " + e.getMessage());
    e.printStackTrace();
}
return false;

}