matlab实现分水岭算法处理图像分割1

此程序为优化后的分水岭算法,避免了图像过分割


   
   
   
   
  1. I= imread( 'D:\Images\pic_loc\1870405130305041503.jpg');
  2. imshow(I);
  3. h=fspecial( 'sobel'); %h = fspecial( type) creates a two-dimensional filter h of the specified type. fspecial returns h as
  4. %a correlation kernel, which is the appropriate form to use with imfilter. type is a string having one of these values.
  5. fd=double(I);%double使数据变成双精度
  6. g=sqrt(imfilter(fd,h, 'replicate').^ 2+imfilter(fd,h ','replicate ').^2);
  7. figure;
  8. imshow(g);
  9. g2=imclose(imopen(g,ones(3,3)),ones(3,3));
  10. figure;
  11. imshow(g2);
  12. im=imextendedmin(g2,10); %
  13. Lim=watershed(bwdist(im)); %watershed分水岭算法 Lim的值greater than or equal to 0,等于0是分水岭脊像素
  14. em=Lim==0;
  15. g3=imimposemin(g2,im|em);
  16. g4=watershed(g3);
  17. figure;
  18. imshow(g4);
  19. g5=I;
  20. g5(g4==0)=255;
  21. figure;
  22. imshow(g5);

实验结果:


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