Wie erkenne ich das Haar mit OpenCV aus dem Bild? ⇐ Java

[Guest]

Ich habe den folgenden Code mit OpenCV Funktionen cvtcolor

Code: Select all

Canny

und Houghlinesp , aber in einigen Fällen nicht in der Lage, genaues Ergebnis zu erzielen oder nicht zu funktionieren.

Code: Select all

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;
}

Below are sample images to count hair :