n-dimensional euclidean distance between each window in A and template T. Similar to normxcorrn, except at each point (i,j) calculates the euclidean distance between the T and the window in A surrounding the point, storing the result in C(i,j). USAGE C = xeucn( A, T, [shape] ) INPUTS A - first d-dimensional matrix T - second d-dimensional matrix shape - ['full'] 'valid', or 'same' (see convn) OUTPUTS C - correlation matrix EXAMPLE T=gaussSmooth(rand(20),2); A=repmat(T,[3 3]); C1=normxcorrn(T,A); C2=xcorrn(A,T); C3=xeucn(A,T); figure(1); im(C1); figure(2); im(C2); figure(3); im(-C3); See also XCORRN, CONVNFAST Piotr's Image&Video Toolbox Version 2.0 Copyright 2008 Piotr Dollar. [pdollar-at-caltech.edu] Please email me if you find bugs, or have suggestions or questions! Licensed under the Lesser GPL [see external/lgpl.txt]