Clementf2b's profile - activity

@StevenPuttemans Thank you for your reply. You mean that I should set the range closer? Yes. If people contain brown hair, it would affect my result. Do you know how to extract the HSV color from that region?

The following is the code that I run to find the face region

private Mat mRgbMat;
private Mat mHsvMat;
private Mat mMaskMat;
private int channelCount = 3;
private Mat mDilatedMat;
private List<MatOfPoint> contours = new ArrayList<MatOfPoint>();

private Mat hierarchy;
private int iLineThickness = 5;
private Scalar colorGreen = new Scalar(0, 255, 0);
private static double mMinContourArea = 0.3;
private List<MatOfPoint> mMaxContours = new ArrayList<MatOfPoint>();

private void detectRegion() {

    //get the image from gallery and change it into bitmap
    Bitmap bmpTemp = originalImg.copy(Bitmap.Config.ARGB_8888, true);
    Utils.bitmapToMat(bmpTemp, mRgbMat);
    Imgproc.cvtColor(mRgbMat, mHsvMat, Imgproc.COLOR_RGB2HSV, channelCount);

    Scalar lowerThreshold = new Scalar(0, 0.23 * 255, 50); // Blue color – lower hsv values
    Scalar upperThreshold = new Scalar(50, 0.68 * 255, 255); // Blue color – higher hsv values
    Core.inRange(mHsvMat, lowerThreshold, upperThreshold, mMaskMat);
    Imgproc.dilate(mMaskMat, mDilatedMat, new Mat());

    Imgproc.findContours(mMaskMat, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);

    // Find max contour area
    double maxArea = 0;
    Iterator<MatOfPoint> each = contours.iterator();
    while (each.hasNext()) {
        MatOfPoint wrapper = each.next();
        double area = Imgproc.contourArea(wrapper);
        if (area > maxArea)
            maxArea = area;
    }

    // Filter contours by area and resize to fit the original image size
    mMaxContours.clear();
    each = contours.iterator();
    while (each.hasNext()) {
        MatOfPoint contour = each.next();
        if (Imgproc.contourArea(contour) > mMinContourArea*maxArea) {
            mMaxContours.add(contour);
        }
    }

    Imgproc.drawContours(mRgbMat, mMaxContours,0, colorGreen, iLineThickness);
    Log.d(TAG + " contours" ,  contours.size() + "" );

    // convert to bitmap:
    Bitmap bm = Bitmap.createBitmap(mRgbMat.cols(), mRgbMat.rows(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(mRgbMat, bm);

    // find the imageview and draw it!
    imageView.setImageBitmap(bm);
}

Result of the above code:

please add https:// because I cannot post link. Thank you s11.postimg.org/myaf9fb4z/photo_2017_02_16_14_43_34.jpg

Although I can get a good result using the above function, I may not get the result that I want if there are some extra elements that contains a close value of the color like the following image.

please add https:// because I cannot post link. Thank you s27.postimg.org/gy04nnwzn/photo_2017_02_16_14_49_57.jpg

How do I change my code to fit this situation? Also I need to change the HSV value in this region. How can I get the HSV value in that region? Please give me some helps. Thank you very much.

This is the part that I have done. I am still working it but I dun know the part of iterator, the size_t and the pt[2] = Point2f(t[4], t[5 ]);. How to work it in java? Thanks.

preshap I place my translation of code to let you guys to give me some suggestions?

I knew but I dun know how does it work so I translate it to java

static void calculateDelaunayTriangles(Rect rect, vector<Point2f> &points, vector< vector<int> > &delaunayTri){

Subdiv2D subdiv(rect);

for( vector<Point2f>::iterator it = points.begin(); it != points.end(); it++)
    subdiv.insert(*it);         

vector<Vec6f> triangleList;
subdiv.getTriangleList(triangleList);
vector<Point2f> pt(3);
vector<int> ind(3);

for( size_t i = 0; i < triangleList.size(); i++ )
{
Vec6f t = triangleList[i];
pt[0] = Point2f(t[0], t[1]);
pt[1] = Point2f(t[2], t[3]);
pt[2] = Point2f(t[4], t[5 ]);

if ( rect.contains(pt[0]) && rect.contains(pt[1]) && rect.contains(pt[2])){
    for(int j = 0; j < 3; j++)
        for(size_t k = 0; k < points.size(); k++)
            if(abs(pt[j].x - points[k].x) < 1.0 && abs(pt[j].y - points[k].y) < 1)                      
                ind[j] = k;                 

    delaunayTri.push_back(ind);
}
}

 }

I would like to use this function which builds from opencv but this function is C++ function. I want to convert it to java and use it in android. I am a beginner in c++ and I dun know how to convert them. Can anyone help me to convert it? Thank you very much.

This is the part that I have done. I am still working it.

 static void calculateDelaunayTriangles(org.opencv.core.Rect rect, Vector<org.opencv.core.Point> points,       Vector<Vector<Integer> > delaunayTri){

 // Create an instance of Subdiv2D
    Subdiv2D subdiv = new Subdiv2D(rect);

    // Insert points into subdiv
    for(int i = 0;i < points.size();i++)
    subdiv.insert(points.get(i));

    MatOfFloat6 triangleList = null;
    subdiv.getTriangleList(triangleList);
    Vector<MatOfPoint2f> pt = new Vector<>(3);
    MatOfInt ind = new MatOfInt(3);

   for( int i = 0; i < triangleList.size(); i++ )
   {
   MatOfFloat6 t = triangleList[i];
   pt[0] = new Vector<MatOfPoint2f>(t[0], t[1]);
   pt[1] = new Vector<MatOfPoint2f>(t[2], t[3]);
   pt[2] = new Vector<MatOfPoint2f>(t[4], t[5 ]);

   if ( rect.contains(pt[0]) && rect.contains(pt[1]) && rect.contains(pt[2])){
       for(int j = 0; j < 3; j++)
           for(int k = 0; k < points.size(); k++)
               if(Math.abs(pt[j].x - points[k].x) < 1.0 && abs(pt[j].y - points[k].y) < 1)
                   ind[j] = k;

       delaunayTri.push_back(ind);
   }
  }

  }

I want to use the following automatic white balance function

http://docs.opencv.org/3.0-last-rst/m...

But I am new to android and I don't know how to convert it to use in the android studio. Can anyone help me to solve this problem? Thank You.