📄 perform_voting.m
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function T = perform_voting(M,sigma,c,n,p,thresh)
% perform_voting - perform the voting process.
%
% T = perform_voting(M,sigma,c,n,p,thresh);
%
% 'M' is a tensor field created by the user.
%
% - The oriented features of the image must be stored
% in the *highest* eigenvectors of the tensors.
% - The confidence in these featres is reflected by
% ratio of the eigenvalues
% (l1/l2==1 imply no confidence at all, l2=0 imply total confidence).
%
% Optional:
% 'sigma' and 'c' control the stick field (see 'compute_stick_tf').
% 'n' is the size of the kernel (typically smaller than the size of the image).
% 'p' is the precision for the computation of the ball tensor field.
% 'thresh' is a threshold (perform voting only if l1-l2>thresh where (l1,l2) are the eigenvalues).
%
% See also perform_voting_ball.
%
% Copyright (c) 2004 Gabriel Peyr
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