i have calculated the distance of one image with 30 images,now i want to find the nearer distance with the smallest diatance and wnat to diaplay the images having small distance with the input image i.e the similar images.

b=dlmread('features38.mat')
%b1=dlmread(fr)
b1=dlmread('frs.mat')
sum=0;
for i=1:8
  g = (b(i) - b1(j,i))^2
  sum=sum+g
end
dist = sqrt(sum);
E_dist(j)=dist
disp(E_dist);

if(E_dist(j) <.0022)
  subplot(3,3,m)
  imshow(I);
  m=m+1;
  
end
end

sd=sort(E_dist)

Answer 1

[Image Analyst]

First of all DO NOT USE SUM AS THE NAME OF A VARIABLE BECAUSE IT DESTROYS THE BUILT IN SUM() FUNCTION!

I'm not sure what that for loop does anyway. But if E_dist is a list of your distances, to find the index with the smallest distance, use min()

[minDistance, indexOfMin] = min(E_dist);

Then display the pair of images with imshow().