i have calculated the euclidean distance of one image with 30 images stored in a databse.Now how i display the images having the smallest distance?If i want to display 4 or 5 images

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I = imread('11.jpg'); I = rgb2gray(I); m=1; srcFiles = dir('fruits\*.jpg'); % the folder in which ur images exists for j = 1 : 30
filename = strcat('fruits\',srcFiles(j).name);
filenam = strcat('fruits',srcFiles(j).name);
I = imread(filename);
%I=graythresh(I);
%I=imresize(I,[20,15]);
fr=strcat('features',filenam,'.mat');
b=dlmread('features11.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) <.0061)
subplot(3,3,m)
imshow(I);
m=m+1;
end
end
sd=sort(E_dist)

Accepted Answer

Image Analyst
Image Analyst on 17 Jun 2014
You could display them one at a time with imshow(), either in 4 or 5 axes or one at a time in the same axes. Or you could use the montage() function to stitch together all the images into one big image which you can display with imshow().
  2 Comments
Anamika baruah
Anamika baruah on 17 Jun 2014
i have to identify the small distances with the input image and display the images with the distances closer to the distance of input image.how i proceed?
Image Analyst
Image Analyst on 17 Jun 2014
You said "i have calculated the euclidean distance of one image with 30 images" so you just take those distances and put it into the min() function
[minDistance, indexOfMin] = min(distances);

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