solve my problem in my code

hi i have a code for clustering an image by calculating color difference between 2pixels in rgb image.but it has no error and no answer who can help me? please its emeregency

clc
clear
close all

npop=1;
num_center_w=100;
tend=20;
t=1;
imrgb=imread('a.jpg;');
image=im2double(imrgb);

mask=fspecial('prewitt');
im_filtered =imfilter(image,mask);

image2=imsubtract(image,im_filtered);

image4 =2* image2;
imageresized=imresize(image4,[512 512]);

S=size(imageresized);
%A=numel(impixel(image2));
%B=nnz(impixel(image2));
%num_zero=A-B;

num_row=S(1,1);
num_col=S(1,2);
num_superpixel=200;
ss= round(sqrt((num_row*num_col)/num_superpixel));
searcharea=ss;

center.activecode=2;
center.corx=[];
center.cory=[];
center.cost=[];
center.color=[];
center.labelw=[];
center.labelc=[];

low=searcharea+1;
max_x=num_row-searcharea;
max_y=num_col-searcharea;
lbx=low;
ubx=max_x;
lby=low;
uby=max_y;
% m=number of centers of evry whale
pop= repmat(center,npop,num_center_w);
i=1;
j=1;
while( i<=npop )
    while( j<=num_center_w)
        A=randi([low,max_x]);
        B=randi([low,max_y]);
    pop(i,j).corx=unique(A);
    pop(i,j).cory=unique(B);
     pop(i,j).color= impixel(imageresized,pop(i).corx,pop(i).cory);
     if(( isnan (pop(i,j).color) )|( pop(i,j).color==0 ))
  while(( isnan (pop(i,j).color) )|( pop(i,j).color==0 ))

      B=randi([low,max_y]);
      pop(i,j).corx=unique(A);
      pop(i,j).cory=unique(B);
          pop(i,j).color= impixel(imageresized,pop(i).corx,pop(i).cory);

     end

       end
       u=1;
       uu=1;
       while(u<i)
           while(uu<j)
    if (pop(i,j).color ==pop(u,uu).color )
        while( pop(i,j).color ==pop(u,uu).color)

      B=randi([low,max_y]);
      pop(i,j).corx=unique(A);
      pop(i,j).cory=unique(B);
          pop(i,j).color= impixel(imageresized,pop(i).corx,pop(i).cory);
          uu=uu+1;
        end
        u=u+1;
    end
           end
       end

     end

     %pop(i,j).label=strcat('wale',v,'c',w);
      pop(i,j).labelw=i;
      pop(i,j).labelc=j;
     pop(i,j).cost=[];
    % pop(i).cost= ClusteringCost(pop(i).corx,pop(i).cory, pop(i).color);
   j=j+1;
      end
   i=i+1;     
  end

%%calculate distance evry center and evry pixel in search area (2d)
whale.r=[];
whale.g=[];
whale.b=[];
win_color=[];
test.r=[];
test.g=[];
test.b=[];
im_clustred.x=[];
im_clustred.y=[];
im_clustred.r=[];
im_clustred.g=[];
im_clustred.b=[];
im_clustred.seen=zeros(num_row,num_col);
im_clustred.dis=zeros(num_row,num_col);
im_clustred.labelw=[];
im_clustred.labelc=[];
again.x=[];
again.y=[];
again.dis=zeros(num_row,num_col);
again.seen=zeros(num_row,num_col);
again.labelc=[];
again.labelw=[];

i=1;
j=1;
       while (i<=npop)
        while (j<=num_center_w)
          p=(pop(i,j).corx)-(searcharea);
          q=(pop(i,j).cory)-(searcharea);
          pp=(pop(i,j).corx)+(searcharea);
          qq=(pop(i,j).cory)+(searcharea);
         whale.r=pop(i,j).color(1); 
         whale.g=pop(i,j).color(2);
         whale.b=pop(i,j).color(3);

           while (p<=pp)

                while(q<=qq)
                     win_color= impixel(image2,p,q);
                      if ( isnan (win_color)) 
                      win_color=[0 0 0];
                      end
                     test.r=win_color(1); 
                     test.g=win_color(2);
                     test.b=win_color(3);
                      dis = sqrt(( test.r - whale.r).^ 2 + ...
                    (test.g - whale.g).^ 2 + test.b- whale.b).^ 2 ;
                  if ( isnan (dis)) 
                      dis=0;
                  end
                  if ((im_clustred.seen(p,q)==1)||(again.seen(p,q)==1))
                   n= lt(im_clustred.dis(p,q),dis);
                   nn=lt(again.dis(p,q),dis);
                   if (n)
                       docluster=1;
                   end
                       if(~n)
                           docluster=2;
                       end
                       if(nn)
                           docluster=3;
                       end
                       if(~nn)
                           docluster=4;
                       end
                       switch docluster
                      case 1
                      q=q+1;
                      case 2
                          im_clustred.x(p,q)=p;
                          im_clustred.y(p,q)=q;
                          im_clustred.r(p,q)= whale.r(i,j);
                          im_clustred.g(p,q)= whale.g(i,j);
                          im_clustred.b(p,q)= whale.b(i,j);
                          im_clustred.labelw(p,q)=i; 
                          im_clustred.labelc(p,q)=j;
                          im_clustred.dis(p,q)=dis;
                          im_clustred.seen(p,q)=1;
                       q=q+1;
                      case 3
                          q=q+1;
                      case 4
                          again.x(p,q)=p;
                          again.y(p,q)=q;
                          again.dis(p,q)=dis;
                          again.seen(p,q)=1;
                          again.labelc(p,q)=j;
                          again.labelw(p,q)=i;
                          q=q+1;   

                       end

                  else
                   u=lt(0,dis);
                   uu=lt(dis,0.5);
                   v=lt(dis,1);

                   if(u && uu)
                       doingcluster=1;
                   end
                       if(v && ~uu)
                       doingcluster=2;
                       end
                       if(~v)
                       doingcluster=3;
                       end

                       switch doingcluster
                           case 1
                          im_clustred.x(p,q)=p;
                          im_clustred.y(p,q)=q;
                          im_clustred.r(p,q)= whale.r(i,j);
                          im_clustred.g(p,q)= whale.g(i,j);
                          im_clustred.b(p,q)= whale.b(i,j);
                          im_clustred.labelw(p,q)=i; 
                          im_clustred.labelc(p,q)=j;
                          im_clustred.dis(p,q)=dis;
                          im_clustred.seen(p,q)=1;
                          q=q+1;
                           case 2
                          again.x(p,q)=p;
                          again.y(p,q)=q;
                          again.dis(p,q)=dis;
                          again.seen(p,q)=1;
                          again.labelc(p,q)=j;
                          again.labelw(p,q)=i;
                          q=q+1;
                           case 3
                          q=q+1;

                      end

                  end

                end
                 p=p+1;
                q=qq-searcharea;
                end
               j=j+1;
         end
            i=i+1;      
          end
          while(p<=num_row)
                      while(q<=num_col)
                      if(again.seen(p,q)==1)
                      im_clustred.labelc(p,q)=again.labelc(p,q);
                      im_clustred.dis(p,q)=again.dis(p,q);
                      im_clustred.labelw(p,q)= again.labelw(p,q);
                      end
                      q=q+1;
                      end
                     p=p+1;
          end

[Stephen23]

@mandana: your code is very badly aligned. Badly aligned code is one way that beginners hide mistakes in their code. You should align your code using the default MATLAB editor settings: you can align existing code by selecting the code and pressing ctrl+i.

Pay attention to the syntax warnings/errors in the editor: you have atleast one syntax error, which is much easier to find once the code is aligned properly.

[Image Analyst]

Another common beginner mistake is no comments. In hundreds of lines of code you have one virtually worthless comment. What does this code do? I have no idea and I'm an expert in color science. Something to do with whales, clusters, and pop. Put comments in and make your variables more descriptive -- not i,j,p,q, etc. (a virtual alphabet soup that is very hard to follow). And attach your a.jpg so we can at least run the code even though we don't know what it does. And, by the way, don't use JPG files if you can help it. JPG files usually have compression artifacts that reduce the accuracy of your image analysis.

http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer