Image segmentation using NN .. what is my mistake in the following code?

I do image segmentation as preprocessing step to finding similarity.

Calculate similarity between 2 images as follow:

1. image resize.
2. image segmentation using clustering (SOM and LVQ) for the 2 images.
3. find similarity level using the like_som function.

clear;
fix = imread('cameraman.tif');
len = size(fix(:));
small_img = imresize(fix,[50 50]);
hist_learn = imhist(small_img);
% replicate image hist to feed NN.
hist_learn = [hist_learn hist_learn];

%%SOM and LVQ network 

net_v = selforgmap([10,10]);
net_v = train(net_v,hist_learn);
c = net_v(hist_learn); %class

n = lvqnet(10);
n = train(n,hist_learn,c);

%%Compare the org. image with (same) image after transformation 
% Try to calc. similarity using NN.
min = -100;
max = 100;
Rout = imref2d(size(fix)); %create Reference2D object
out = zeros(21,11);
i=1;
for shift_x = min:10:max
    cfloat = fix;
    t=[1 0 0;0 1 0;shift_x 0 1];
    tform = affine2d(t);
    cfloat = imwarp(cfloat,tform,'outputView',Rout,'FillValues',cfloat(1,1));
    small_img = imresize(cfloat,[50 50]);
    %Calc. similarity between 2 images
    out(i,:) = like_som(small_img,hist_learn,n);
    i = i +1;
end

the like_som function

function out = like_som(im, hist, net)
    hs = imhist(im);
    cls = vec2ind(net(hs));
    out = zeros(1,11); 
    [~, n] = size(hist);
    for i = 1 : n
        hist_i = hist(:, i);
        n_hist = net(hist_i);
        org_cls = vec2ind(n_hist);
        if(cls == org_cls )
           out(i) =1;
           figure;imshow(im);title(['float, i = ' num2str(i)]);
        end
    end
  %  figure;imshow(im);title('float');
end

source https://scriptbucket.wordpress.com/2012/09/21/image-classification-using-matlab-somlvq/