我使用GrabCut算法来分割我的图像my image，以检测我图像中的柑橘(水果)作为前景并从背景中减去它 . 为此，首先我必须在我的对象(水果)周围选择2个点，用于在我的对象(水果)周围绘制矩形，然后我应用抓取算法来减去我的图像的背景 . 问题是我在应用抓取切割算法后得到相同的图像(没有任何对象检测背景减除) . 贝娄是我的Android代码(OpenCV)

public boolean imgProcessingButton(View view) {

if (mCurrentPhotoPath != null)

targetChose = false;

mImageView.setOnTouchListener(new View.OnTouchListener() {

@Override

public boolean onTouch(View v, MotionEvent event) {

if (event.getAction() == MotionEvent.ACTION_DOWN) {

if (touchCount == 0) {

tl.x = event.getX();

tl.y = event.getY();

touchCount++;

}

else if (touchCount == 1) {

br.x = event.getX();

br.y = event.getY();

Paint rectPaint = new Paint();

rectPaint.setARGB(255, 255, 0, 0);

rectPaint.setStyle(Paint.Style.STROKE);

rectPaint.setStrokeWidth(3);

Bitmap tmpBm = Bitmap.createBitmap(mBitmap.getWidth(),

mBitmap.getHeight(), Bitmap.Config.RGB_565);

Canvas tmpCanvas = new Canvas(tmpBm);

tmpCanvas.drawBitmap(mBitmap, 0, 0, null);

tmpCanvas.drawRect(new RectF((float) tl.x, (float) tl.y, (float) br.x, (float) br.y),

rectPaint);

mImageView.setImageDrawable(new BitmapDrawable(getResources(), tmpBm));

targetChose = true;

touchCount = 0;

mImageView.setOnTouchListener(null);

}

}

return true;

}

});

return true;}

public boolean imgCutButton(View view) {

if (mCurrentPhotoPath != null && targetChose) {

new ProcessImageTask().execute();

targetChose = false;

}

return true;

}

private class ProcessImageTask extends AsyncTask {

@Override

protected void onPreExecute() {

super.onPreExecute();

dlg.setMessage("Processing Image...");

dlg.setCancelable(false);

dlg.setIndeterminate(true);

dlg.show();

}

@Override

protected Integer doInBackground(Integer... params) {

Mat img = Imgcodecs.imread(mCurrentPhotoPath);

Mat background = new Mat(img.size(), CvType.CV_8UC3,

new Scalar(255, 255, 255));

Mat firstMask = new Mat();

Mat bgModel = new Mat();

Mat fgModel = new Mat();

Mat mask;

Mat source = new Mat(1, 1, CvType.CV_8U, new Scalar(Imgproc.GC_PR_FGD));

Mat dst = new Mat();

Rect rect = new Rect(tl, br);

Imgproc.grabCut(img, firstMask, rect, bgModel, fgModel,

5, Imgproc.GC_INIT_WITH_RECT);

Core.compare(firstMask, source, firstMask, Core.CMP_EQ);

Mat foreground = new Mat(img.size(), CvType.CV_8UC3,

new Scalar(255, 255, 255));

img.copyTo(foreground, firstMask);

Scalar color = new Scalar(255, 0, 0, 255);

Imgproc.rectangle(img, tl, br, color);

Mat tmp = new Mat();

Imgproc.resize(background, tmp, img.size());

background = tmp;

mask = new Mat(foreground.size(), CvType.CV_8UC1,

new Scalar(255, 255, 255));

Imgproc.cvtColor(foreground, mask, Imgproc.COLOR_BGR2GRAY);

Imgproc.threshold(mask, mask, 254, 255, Imgproc.THRESH_BINARY_INV);

System.out.println();

Mat vals = new Mat(1, 1, CvType.CV_8UC3, new Scalar(0.0));

background.copyTo(dst);

background.setTo(vals, mask);

Core.add(background, foreground, dst, mask);

firstMask.release();

source.release();

bgModel.release();

fgModel.release();

vals.release();

Imgcodecs.imwrite(mCurrentPhotoPath , dst);

//displayImage(dst);

return 0;

}

@Override

protected void onPostExecute(Integer result) {

super.onPostExecute(result);

Bitmap jpg = BitmapFactory

.decodeFile(mCurrentPhotoPath );

imageView.setScaleType(ImageView.ScaleType.CENTER_INSIDE);

imageView.setAdjustViewBounds(true);

imageView.setPadding(2, 2, 2, 2);

imageView.setImageBitmap(jpg);

imageView.invalidate();

dlg.dismiss();

}

}