Find the distance between images which are saved in cell array form

Iout is a binary image.After finding its connected component I want to find the images which are matched to these connected component using the distance.In the code given below vect1 and vect2 are present in which vect1 contain 1*11 cell and vect2 contain 1*22 cell array.Each cell contain 1*124 size numeriacal data. After finding the step sum((vec1{n} - vec2{ii}) .^ 2) , 'dist_1_1{ii}' must contain 1*22 cell array But it contain only 1*22 size data. After that I want to found the minimum distance in each cell.But I can't do that. What is the problem present in the code.Can anybody please help me to solve this problem.

   Iout=imread('pic.jpg');
    [Ilabel num] = bwlabel(im2bw(Iout));
    plotFlag = 1;
  depth = 6;
   A=[];
  vec2=[];
  dist_1_1=[];
  n=cell([], num);
  m=[];
  I=[];
   for n=1:num
          [r,c] = find(Ilabel==n);
          % Extract letter

          n1=Iout(min(r):max(r),min(c):max(c));
          n1=discourser(n1);
          n1=uint8(n1);
          threshold = graythresh(n1);n1 =im2bw(n1,threshold);

          img_r=imresize(n1,[42 24]);
         figure,imshow(img_r);
         alef1=img_r;
           vec1{n}= hierarchicalCentroid(alef1,depth,plotFlag);

%           figure,imshow(vec1);
         for ii=1:22
    A{ii} = imread(['image' num2str(ii) '.bmp']);

% subplot(1,3,2);
vec2{ii} = hierarchicalCentroid(A{ii},depth,plotFlag);
dist_1_1{ii} = sum((vec1{n} - vec2{ii}) .^ 2);
 ll=vertcat(dist_1_1{ii});

[m{ii},I{ii}]=min(cell2mat(dist_1_1{ii}));
end
 end