Read the corresponding image in matlab - image

Question

I calculated the distance between an image A1 and different images like image1,image2,image3 and image4 based on its hierarchicalCentroid. dist_1_1{ii} contains 4 values. I want to find the minimum value present in the dist_1_1{ii}.But I shows the value 1 and also i want to show the image which gives minimum value. Please help me. Thanks in advance
%% demo
clc,clear all,close all
plotFlag = 1;
depth = 6;
alef1 = im2bw(imread('C1.bmp')); %% Binary image
vec1 = hierarchicalCentroid(alef1,depth,plotFlag);
% subplot(1,3,1);
A=[];
vec2=[];
dist_1_1=[];
for ii=1:4
A{ii} = imread(['image' num2str(ii) '.bmp']);
% subplot(1,3,2);
vec2{ii} = hierarchicalCentroid(A{ii},depth,plotFlag);
%subplot(1,3,3);
%vec3 = hierarchicalCentroid(tav,depth,plotFlag);
% vec4=hierarchicalCentroid(A,depth,plotFlag);
% vec5=hierarchicalCentroid(A,depth,plotFlag);
dist_1_1{ii} = sum((vec1 - vec2{ii}) .^ 2);
[~,I] = min(dist_1_1{ii});
figure;
subplot(1,2,1);imshow(alef1);
subplot(1,2,2);imshow(A{I});
end

Answer 1

Considering that your images are named such as image1.png, image2.png,...
first, read and store the images in a cell
for ii=1:n
A{ii} = imread(['image' num2str(ii) '.png']);
end
Then compute the similarity between the image A1 and other images:
ind = computeSimilarity(A1,A); % here you compute the similarity and
(of course you would need a for-loop.)
After you have stored the values in the ind vector:
ind = [0.76,1.96,2.96];
Then find the index of a minimum value and choose the image accordingly
[~,I] = min(ind);
figure;
subplot(1,2,1);imshow(A1);
subplot(1,2,2);imshow(A{I});
What should be corrected in your code:
First of all, avoid using cell when it is not necessary and define it correctly when you using it. You cannot define a cell array like A=[]. You should do it like this: A=cell(2,3). For instance, for storing the vector of the descriptors you do not need a cell, just store them as a matrix, as I did.
Second of all when posting your code here, remove the unnecessary parts such as commented plots and commands.
And then, try to modify your code as follows, I might made some mistake about the dimensions, but you can get the main idea.
and also remember that you do not need to check each distance inside the loop. Calculate the vectors first and then find the distances in one step, as I did.
depth = 6;
alef1 = im2bw(imread('C1.bmp'));
vec1 = hierarchicalCentroid(alef1,depth,0);
A=cell(1,4);
vMatrix=zeros(4,length(vec1));
for ii=1:4
A{1,ii} = imread(['image' num2str(ii) '.bmp']);
vecMatrix(ii,:) = hierarchicalCentroid(A{1,ii},depth,0);
end
dist = sum((repmat(vec1,4,1) - vMatrix) .^ 2,2);
[~,I] = min(dist);