I want to extract leaf veins and use them in machine learning process, but I don't know how to do it right.
I've tried with sobel and get quite good results.
code:
Imgproc.GaussianBlur(image, image, new Size(3, 3), 0, 0);
Imgproc.cvtColor(image, image, Imgproc.COLOR_BGR2GRAY);
Mat Sx = new Mat(); Mat Sy = new Mat();
Mat absSx = new Mat(); Mat absSy = new Mat();
Imgproc.Sobel(image, Sx, CvType.CV_16S, 1, 0, 3, 1, 0, Imgproc.BORDER_DEFAULT);
Core.convertScaleAbs(Sx, absSx);
Imgproc.Sobel(image, Sy, CvType.CV_16S, 0, 1, 3, 1, 0, Imgproc.BORDER_DEFAULT);
Core.convertScaleAbs(Sy, absSy);
Core.addWeighted(absSx, 0.5, absSy, 0.5, 0, image);
images:
1 2
Many depends on image resolution and quality, but is there better approach?
How to use these information in machine learning? How to transform this graphical data to a form appropriate for classifiers?
I've tried only using pixels data in classifaction, but outcome was not good.