在高斯差分中應用高斯濾波器的最佳值？

我已經實現了使用OpenCV java的高斯差分。在高斯差分中應用高斯濾波器的最佳值？

import org.opencv.core.Core; 
import org.opencv.core.Mat; 
import org.opencv.core.Size; 
import org.opencv.highgui.Highgui; 
import org.opencv.imgproc.Imgproc; 

import com.atul.JavaOpenCV.Imshow; 

public class demodog 

{ 
public static void main(String args[]) 
{ 
System.loadLibrary(Core.NATIVE_LIBRARY_NAME); 

Mat img=Highgui.imread("C:\\testdatabase\\illumination1.jpg"); 

Mat g1=new Mat(); 
Mat g2=new Mat(); 
Mat g3=new Mat(); 
Mat g4=new Mat(); 
Mat g5=new Mat(); 

Mat r1=new Mat(); 
Mat r2=new Mat(); 
Mat r3=new Mat(); 
Mat r4=new Mat(); 

Imgproc.GaussianBlur(img, g1, new Size(1,1), 0); 
Imgproc.GaussianBlur(img, g2, new Size(3,3), 20); 
Imgproc.GaussianBlur(img, g3, new Size(5,5), 40); 
Imgproc.GaussianBlur(img, g4, new Size(7,7), 50); 
Imgproc.GaussianBlur(img, g5, new Size(11,11),70); 

Core.subtract(g2, g1, r1); 
Core.subtract(g3, g2, r2); 
Core.subtract(g4, g3, r3); 
Core.subtract(g5, g4, r4); 

Imshow im9 = new Imshow("DOG4"); 
im9.showImage(r4); 

Imshow im8 = new Imshow("DOG3"); 
im8.showImage(r3); 

Imshow im7 = new Imshow("DOG2"); 
im7.showImage(r2); 

Imshow im6 = new Imshow("DOG1"); 
im6.showImage(r1); 

Imshow im = new Imshow("Input Image"); 
im.showImage(img); 
} 
}

結果示下面 DoG result