MATLAB: How to find Euclidean distance in matlab

distanceimage processingmatMATLAB

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

Best 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.

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MATLAB: How to find euclidean distance for an image

Dear FIR, Sorry FIR I can't overview your code you sent to me. To compute the Euclidean distance between images or image features, your vector length or matrix should have same dimensions. Let say your first image has 1 x 460 vector then your query should be of same length. If that is the case then you can easily find Euclidean distance by the code I have written below. You just have to ensure that the dimensions are the same. I give you example of Histogram feature of two images.

I = imread('myimage.jpg'); 
I = rgb2gray(I);
h = imhist(I); % this will have default bins 256
% now second image 
J = imread('myimage1.jpg'); 
J = rgb2gray(J);
h1 = imhist(J); % this will have default bins 256 
E_distance = sqrt(sum((h-h1).^2));

You can do it for 1000 images as well. Let say now your 1000 images histogram are concatenated into h1. where each column is one histogram. Then your query image histogram is h. Then distance can be computed as follow.

h_new = repmat(h,1,size(h1,2));
E_distance = sqrt(sum((h_new-h1).^2));

MATLAB: How tondex images based on Euclidean’s distance

How about using the formula for Euclidean distance:

meanDistance = sqrt(sum((featureVector - referenceFeatureVector).^2));

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MATLAB: How to find euclidean distance for an image

MATLAB: How tondex images based on Euclidean’s distance

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