我使用OpenCV函數(shù)cvtColor,Canny和HoughLinesP嘗試下面的代碼,但在某些情況下無法獲得準確的結(jié)果或無法工作.

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;

}

以下是計算頭發(fā)的示例圖像：

總結(jié)

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