how to find Euclidean distance in matlab?
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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
采纳的回答
Junaid
2011-12-2
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.
3 个评论
ganesh s
2011-12-2
Junaid
2011-12-2
I assume for Each image you have 1000 x 1 vector. one possible way way is that you concatenate all images to one matrix. Let say you have 100 images then you get D 1000 x 100. Where each column is feature of single image. and then you query Q is 10000x1. then simply
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
2011-12-2
更多回答（2 个）
divya r
2012-6-15
0 个投票
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?
2 个评论
Walter Roberson
2012-6-15
Please start a new Question for this matter.
Htet Yamin Ko Ko
2017-10-11
编辑：Walter Roberson
2017-10-11
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.
Dodo Dodda
2016-5-18
0 个投票
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?
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