matlab实现分水岭算法处理图像分割
此程序为优化后的分水岭算法，避免了图像过分割I= imread('D:\Images\pic_loc\1870405130305041503.jpg');
imshow(I);
h=fspecial('sobel'); %h = fspecial(type) creates a two-dimensional filter h of the specified type. fspecial returns h as
%a correlation kernel, which is the appropriate form to use with imfilter. type is a string having one of these values.
fd=double(I);%double使数据变成双精度
g=sqrt(imfilter(fd,h,'replicate').^2+imfilter(fd,h','replicate').^2);
figure;
imshow(g);
g2=imclose(imopen(g,ones(3,3)),ones(3,3));
figure;
imshow(g2);
im=imextendedmin(g2,10); %
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
em=Lim==0;
g3=imimposemin(g2,im|em);
g4=watershed(g3);
figure;
imshow(g4);
g5=I;
g5(g4==0)=255;
figure;
imshow(g5);实验结果：
转自：http://blog.sina.com.cn/s/blog_6c41e2f30101c489.html
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