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

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)

Answer 1

[Image Analyst]

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().

[Anamika baruah]

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]

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);