OpenCV android edge enhancement

Question

ok, so I'm new to opencv, I managed to do a grabcut that seems okay to me, except that the edges are pretty out of shape, I want realistic edges, maybe blur the edges to get a perfectly made image, another the thing I noticed is colors that are too bright after the whole process that I wanted to reduce so that a little more acceptable below was my code

private Bitmap backGrndErase() { color = new Scalar(255, 0, 0, 255); dst = new Mat(); Bitmap bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.myshirt); Log.d(TAG, "bitmap: " + bitmap.getWidth() + "x" + bitmap.getHeight()); bitmap = ResizeImage.getResizedBitmap(bitmap, calculatePercentage(40, bitmap.getWidth()), calculatePercentage(40, bitmap.getHeight())); bitmap = bitmap.copy(Bitmap.Config.ARGB_8888, true); Log.d(TAG, "bitmap 8888: " + bitmap.getWidth() + "x" + bitmap.getHeight()); Mat img = new Mat(); Utils.bitmapToMat(bitmap, img); Point p1 = new Point((img.cols()/10), (img.rows()/10)); Point p2 = new Point((img.cols()-img.cols()/10), (img.rows()-img.rows()/10)); Rect rect = new Rect(p1,p2); int border = 20; int border2 = border + border; Rect rect2 = new Rect( border, border, img.cols() - border2, img.rows()-border2); Mat mask = new Mat(); debugger(""+mask.type()); mask.setTo(new Scalar(125)); Mat fgdModel = new Mat(); fgdModel.setTo(new Scalar(255, 255, 255)); Mat bgdModel = new Mat(); bgdModel.setTo(new Scalar(255, 255, 255)); Mat imgC3 = new Mat(); Imgproc.cvtColor(img, imgC3, Imgproc.COLOR_RGBA2RGB); Log.d(TAG, "imgC3: " + imgC3); Log.d(TAG, "Grabcut begins"); Imgproc.grabCut(imgC3, mask, rect2, bgdModel, fgdModel, 2, Imgproc.GC_INIT_WITH_RECT); Mat source = new Mat(1, 1, CvType.CV_8U, new Scalar(3.0)); //Do Sth Core.compare(mask, source, mask, Core.CMP_EQ); //Do Sth Mat foreground = new Mat(img.size(), CvType.CV_8UC3, new Scalar(255, 255, 255)); img.copyTo(foreground, mask); Imgproc.rectangle(img, p1, p2, color); Mat background = new Mat(); try { background = Utils.loadResource(getApplicationContext(), R.drawable.blackcolor ); } catch (IOException e) { e.printStackTrace(); } Mat tmp = new Mat(); Imgproc.resize(background, tmp, img.size()); background = tmp; Mat tempMask = new Mat(foreground.size(), CvType.CV_8UC1, new Scalar(255, 255, 255)); Imgproc.cvtColor(foreground, tempMask, 6/* COLOR_BGR2GRAY */); Mat vals = new Mat(1, 1, CvType.CV_8UC3, new Scalar(0.0)); dst = new Mat(); background.setTo(vals, tempMask); Imgproc.resize(foreground, tmp, mask.size()); foreground = tmp; Core.add(background, foreground, dst, tempMask); Log.d(TAG, "Convert to Bitmap"); //removing blackbaground started Mat tmp2 = new Mat(); Mat alpha = new Mat(); Imgproc.cvtColor(dst, tmp2, Imgproc.COLOR_BGR2GRAY); Imgproc.threshold(tmp2, alpha, 100, 255, Imgproc.THRESH_BINARY); List<Mat> rgb = new ArrayList<Mat>(3); Core.split(dst, rgb); List<Mat> rgba = new ArrayList<Mat>(4); rgba.add(rgb.get(0)); rgba.add(rgb.get(1)); rgba.add(rgb.get(2)); rgba.add(alpha); Core.merge(rgba, dst); Bitmap output = Bitmap.createBitmap(dst.width(), dst.height(), Bitmap.Config.ARGB_8888); Utils.matToBitmap(dst, output); //removing back ended Utils.matToBitmap(dst, bitmap); //release MAT part img.release(); imgC3.release(); mask.release(); fgdModel.release(); bgdModel.release(); alreadyRun = true; return bitmap; } 

I posted the same question on an opencv site, but there seems to be no low audience here, images

Answer 1

trial code to show some possibilities around your question (assuming the background is always white)

 #include "opencv2/opencv.hpp" using namespace cv; int main(int argc, char** argv) { Mat src= imread( argv[1] ); Mat original = src.clone(); imshow("source", src); src = src + Scalar(40,40,40); // to remove jpeg artifacts Mat mask; cvtColor( src, mask, COLOR_BGR2GRAY ); mask = mask < 255; add(src,Scalar(0,60,20),src,mask); Mat blackbg = Mat::zeros(src.size(),CV_8UC3); original.copyTo( blackbg, mask); imshow("mask", mask); imshow("changed color", src); imshow("original image with black background", blackbg); waitKey(); return 0; } 

Answer 2

If you want to detect edges or corners, very carefully opencv has a set of tools for subpixel signature, and it would be nice to apply a gaussianFilter before detecting edges that erase some unwanted noise

Answer 3

Try this code. It works for me

 public Bitmap removeBackground(Bitmap bitmap) { //GrabCut part Mat img = new Mat(); Utils.bitmapToMat(bitmap, img); int r = img.rows(); int c = img.cols(); Point p1 = new Point(c / 100, r / 100); Point p2 = new Point(c - c / 100, r - r / 100); Rect rect = new Rect(p1, p2); Mat mask = new Mat(); Mat fgdModel = new Mat(); Mat bgdModel = new Mat(); Mat imgC3 = new Mat(); Imgproc.cvtColor(img, imgC3, Imgproc.COLOR_RGBA2RGB); Imgproc.grabCut(imgC3, mask, rect, bgdModel, fgdModel, 5, Imgproc. GC_INIT_WITH_RECT); Mat source = new Mat(1, 1, CvType.CV_8U, new Scalar(3.0)); Core.compare(mask, source/* GC_PR_FGD */, mask, Core.CMP_EQ); //This is important. You must use Scalar(255,255, 255,255), not Scalar(255,255,255) Mat foreground = new Mat(img.size(), CvType.CV_8UC3, new Scalar(255, 255, 255,255)); img.copyTo(foreground, mask); // convert matrix to output bitmap bitmap = Bitmap.createBitmap((int) foreground.size().width, (int) foreground.size().height, Bitmap.Config.ARGB_8888); Utils.matToBitmap(foreground, bitmap); return bitmap; }