I have calculate the euclidean distance between two mat files,one file store the color values of one image and other for 30 image.and I get the smallest distance. Now How i display the image having the smallest distance with the first image.

a = imread('11.jpg'); %a = rgb2gray(a); b=dlmread('features11.mat') b1=dlmread('frs.mat') for i=1:30 sum=0; for j=1:8 g = (b(j) - b1(i,j))^2 sum=sum+g end

E_distance = sqrt(sum)
%x(i)=sum;
distance(i)= E_distance
disp('E_distance=')
disp(E_distance);
end
smallest=min(distance)
disp('smallest=')
[smallest,I] = min(distance)

Answer 1

[Image Analyst]

You can use imshow() twice to two separate axes, or you can use imshowpair() to display side-by-side, or imfuse() to display on top of each other in different colors..