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📄 comparehists.m

📁 neural network falut finding
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%
% s = compareHists(h1,h2)
%       returns a histogram similarity in the range 0..1
%
% Compares 2 normalised histograms using the Bhattacharyya coefficient.
% Assumes that sum(h1) == sum(h2) == 1
%
function s = compareHists(h1,h2)

s = sum(sum(sum(sqrt(h1).*sqrt(h2))));

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