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：

           

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