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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Anamika baruah
el 17 de Jun. de 2014
Comentada: Image Analyst
el 17 de Jun. de 2014
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)
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Respuesta aceptada
Image Analyst
el 17 de Jun. de 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 comentarios
Image Analyst
el 17 de Jun. de 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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