How to find euclidean distance?

I have a matrix Features_DB with size 13*30 where each column represent shape features of 13 image.

I want to match between a Query Image shape feature variable Query_Feature with size 13*7(I have 7 query images) and the features vectors for the 30 image represented by

Any Help please??

Answer 1

[Luuk van Oosten]

Have you tried something like:

Z = dist(shapefeature{i},QI_Shape_feature{i})

You can see here how to use "dist" for euclidean distance weight function.

[Nisreen Sulayman]

Thank you, but it didn't work.

Could you please correct the following code

[C R]=size(Query_Features);
for j=1:R %R=1:7
    Q_F=Query_Features(:,j);
    E_D(j)=Euclidean_dist(Features_DB,Q_F)
    save('Euc_Dist.mat','E_D(j)')
end

function [ E_D ] = Euclidean_dist(Features_DB, Query_Features )

%Features_DB: Matrix where each column represent a feature vector, 
%[X,Y]=size(Features_DB): X,number of features; Y, number of images. 
%X=13,Y=30

%Query_Feature:Matrix where each column represent a feature vector of a
%query image.
%[X,Y]=size(Query_Features): X,number of features; Y, number of images. 
%X=13,Y=7

[X,Y]=size(Features_DB);
for i=1:Y  
E_D=dist(Features_DB(:,i),Query_Features(:));
end

end