image segmentation help

I have this code for clustering the data set which is running successfilly but i want to use this code for image segmentation.

I need your help, plz help me....

          Thnks in advance

function y=kMeansCluster(m,k,isRand)

if nargin<3,        isRand=0;   end
if nargin<2,        k=1;        end

[maxRow, maxCol]=size(m)
if maxRow<=k, 
    y=[m, 1:maxRow];
else

      if isRand,
          p = randperm(size(m,1));    
          for i=1:k
              c(i,:)=m(p(i),:)  
        end
      else
          for i=1:k
             c(i,:)=m(i,:)      
        end
      end

  temp=zeros(maxRow,1); 

  while 1,
        d=DistMatrix(m,c) 
        [z,g]=min(d,[],2)  
        if g==temp,
            break;         
        else
            temp=g;        
        end
        for i=1:k
            f=find(g==i)
            if f          
                c(i,:)=mean(m(find(g==i),:),1)
            end
        end
  end

  y=[m,g]

end

      function d=DistMatrix(A,B)

                   [hA,wA]=size(A);
                   [hB,wB]=size(B);
                   if wA ~= wB,  error(' second dimension of A and B must be the same'); end
                   for k=1:wA
                        C{k}= repmat(A(:,k),1,hB);
                        D{k}= repmat(B(:,k),1,hA);
                   end
                   S=zeros(hA,hB);
                   for k=1:wA
                        S=S+(C{k}-D{k}').^2;
                   end
                   d=sqrt(S)

Answer 1

[Image Analyst]

Here's a Mathworks example where they've used k-means clustering for color segmentation: http://www.mathworks.com/products/demos/image/color_seg_k/ipexhistology.html

[pdp rpa]

thnks