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how to find the euclidean distance between two images

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hp
hp on 7 Jun 2017
Commented: Image Analyst on 7 Jun 2020
how to find the euclidean distance between two images... and how to compare query image with all the images in the folder. and if there is a statistical data like mean, mode, standard deviation(more than one value) how to collect and where to store, in such a way that it can useful for comparison.

Answers (4)

Jan
Jan on 7 Jun 2017
Edited: Jan on 21 Oct 2017
  • Euclidean distance between two images:
Dist = sqrt(sum((image1(:) - image2(:)) .^ 2)); % [TYPO fixed, thanks Sean]
This works if the images have the same size. If now, scale one by linear of Lanczos interpolation.
  • compare query image with all the images in the folder
FileList = dir(fullfile(Folder, '*.jpg'));
Result = cell(1, numel(FileList));
for iFile = 1:numel(FileList)
File = fullfile(Folder, FileList(iFile).name);
Img = imread(File);
... Now compare the current image with the one to be checked
Result{iFile} = ...
end
  • is there is a statistical data like mean, mode, standard deviation(more than one value) how to collect and where to store, in such a way that it can useful for comparison.
This is the wrong direction. You have to determinem, what you are looking for. The forum cannot guess, what is useful for you. Perhaps you want to recognize some vegetables, or intergalactic gas clouds, perhaps colored cows or predict, what will be the fashion for umbrellas in the next year by scanning persons in Paris from a near earth orbit. What are you looking for?
  7 Comments
Image Analyst
Image Analyst on 7 Jun 2020
Jan is no longer monitoring this forum because he had some kind of problem with lag in his browser. I'm attaching code to do PCA on an RGB image so maybe you can adapt that. How did you get the mean PCA values in the first place? You might want to start a new question/thread.

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KSSV
KSSV on 7 Jun 2017
You can compute standard statistics of an image using the mean2, std2, and corr2 functions. mean2 and std2 compute the mean and standard deviation of the elements of a matrix. corr2 computes the correlation coefficient between two matrices of the same size.
  4 Comments
hp
hp on 7 Jun 2017
I have below code ...
using below code , query an image... and it should return set of similar images as of query image (i am having matlab7 version)
how to do it...
function colorMoments = colorMoments(image)
% input: image to be analyzed and extract 2 first moments from each R,G,B
% output: 1x6 vector containing the 2 first color momenst from each R,G,B
% channel
[filename,pathname]=uigetfile({'*.jpg';'*.png';'*.tif';'*.bmp'},'File Selector');
image=imread([pathname,filesep,filename]);
% extract color channels
R = double(image(:, :, 1));
G = double(image(:, :, 2));
B = double(image(:, :, 3));
% compute 2 first color moments from each channel
meanR = mean( R(:) );
stdR = std( R(:) );
meanG = mean( G(:) );
stdG = std( G(:) );
meanB = mean( B(:) );
stdB = std( B(:) );
% construct output vector
colorMoments = zeros(1, 6);
colorMoments(1, :) = [meanR stdR meanG stdG meanB stdB];
% clear workspace
clear('R', 'G', 'B', 'meanR', 'stdR', 'meanG', 'stdG', 'meanB', 'stdB');
end

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Biruk Fikadu
Biruk Fikadu on 14 May 2018
In the following arrangement of pixels, what’s the value of the distance between the circled two points using the three distance measurements?

hp
hp on 15 May 2018
how to predict a query image's class using naivebayes classifier? plz help

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