Asked by ganesh s
on 2 Dec 2011

hi i have extracted the feature of the 1000 images by using color Correlogram & saved it in a .mat file, now i want to match some query image(consist of .mat file) with this data base by using Euclidean distance for image retrieval.but i don't know how to find the Euclidean distance between 1000 data base images & one query image. thanks

Answer by Junaid
on 2 Dec 2011

Accepted Answer

Dear what is the size of your feature vector, if it is column vector then let say your have 1000 feature vector of 1000 images. I denote it by D, where each column is feature vector of each image, in short column represent single image. and your Query image is Q is single column vector.

it can be computed as simple as;

Q= repmat(Q,1,size(D,2)); E_distance = sqrt(sum((Q-D).^2));

now E_distance is euclidean matrix distance. where each cell is distance of Query with database image.

ganesh s
on 2 Dec 2011

my Feature vector is of size (1000x1 cell) with each extracted image of size(4096x48 double) i want to match query image of size(4096x48)with this data base

Junaid
on 2 Dec 2011

Q = Q';

once you can do it, then above code will give you Euclidean distance Q with all images. You can plot E_distance to see the result.

ganesh s
on 2 Dec 2011

i already concatenate the all 1000 images in two one column matrix of size(1000x1)with each row represent the extracted image of size(4096x48)now i want to take one query image of size 4096x48(my original image is of size 384x256 after extracting feature by correlogram method it become 4096x48 ) and want to find it's euclidean distance for image retrieval

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Answer by divya r
on 15 Jun 2012

How did you concatenate data from multiple matfiles into one? I have done it fr only 2 .mat files, but i am stuck in the logic for multiple .mat files. Could you please help me out with the logic?

Walter Roberson
on 15 Jun 2012

Please start a new Question for this matter.

Htet Yamin Ko Ko
on 11 Oct 2017 at 6:11

if exist('feat.mat') load feat.mat else feat= []; end feat = [feat,featVec]; % you should use ; for row vectors and , for column vectors save feat.mat feat

feat.mat is my existing .mat file and featVec is my current extracted feature vector. I hope it helps you.

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Answer by Dodo Dodda
on 18 May 2016

I have a data set of 160 images, and i extracted features of these images and saved them in .mat file, now i want to match between features of another image and all features that i saved in the .mat file. How i can do this using eulidean distance algorithm?

Answer by k p
on 21 Sep 2016

i have two image.one is shifted and one is main i have to find the shift of whole image in x direction and y direction how can i find? only two values i want in point pixel in c.

Walter Roberson
on 21 Sep 2016

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## ganesh s (view profile)

Direct link to this comment:https://www.mathworks.com/matlabcentral/answers/22844-how-to-find-euclidean-distance-in-matlab#comment_49786

want to find Euclidean distance between 1000 images(.mat file)& one query image (.mat file) in MATLAB

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