Quantizes A according to values in edges. assignToBins replaces each value in A with a value between [0,nBins] where nBins=length(edges)-1. edges must be a vector of monotonically increasing values. Each element v in A gets converted to a discrete value q such that edges(q)<=v< edges(q+1). If v==edges(end) then q=nBins. If v does not fall into any bin, then q=0. See histc2 for more details about edges. For even spaced edges can get away with rounding A appropriately, see example below. USAGE B = assignToBins( A, edges ) INPUTS A - numeric array of arbitrary dimension edges - quantization bounds, see histc2 OUTPUTS B - size(A) array of quantization levels, ints between [0,nBins] EXAMPLE A = rand(5,5); B1 = assignToBins(A,[0:.1:1]); B2 = ceil(A*10); B1-B2 See also HISTC2 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]