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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | % VL_IMDISTTF Image distance transform
% DT = VL_IMDISTTF(I) computes the distance transform of image I.
% The distance transform is defined as
%
% DT(x,y) = min_{u,v} I(u,v) + (u - x)^2 + (v - y)^2.
%
% [D, INDEXES] = VL_IMDISTTF(...) returns a matrix INDEXES that
% contains for each pixel (x,y) the index of the pixel (u,v) which
% is the minimizer of the distance transform objective.
%
% VL_IMDSITTF(I, PARAM) uses differenet parameters for the
% transform:
%
% DT(u,v) = min_{u,v} I(u,v) + PARAM(1) (u - x - PARAM(2))^2
% + PARAM(3) (v - y - PARAM(4))^2
%
% The function uses the fast algorithm from [1].
%
% REFERENCES::
% [1] P. F. Felzenszwalb and D. P. Huttenlocher. Distance transforms
% of sampled functions. Technical report, Cornell University, 2004.
%
% See also: VL_HELP().
% Author:: Andrea Vedaldi
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
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