how to find euclidean distance
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I have calculated 1080 features for the image using 2d-dual tree discrete wavelet transform(the features include energy, entropy,standard deviation,mean).How to use all these features and calculate euclidean distance. I have 1000 images in my database please give some idea or suggestion about it.
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Jan
am 27 Feb. 2013
The Euclidean distance can be calculated between two vectors. Do you want to treat the 1080 features as elements of a vector? This would work, but treating all elements equally might be a bad idea: Is the mean and the entropy really equivalent for the wanted distance?
x1 = rand(1, 1080);
x2 = rand(1, 1080);
dist = sqrt(sum((x1-x2).^2));
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