📄 iso_s_smooth.m
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function [sm2] = iso_s_smooth(simp,w);
%function [sm2] = iso_f_smooth(simp,w);
%
%Calculates a second order discrete Gaussian smoothing operator
%
%
%
%simp = The simplices matrix.
%w = smoothing weight, w=1...k, default value = 1
%sm2 = The second order smoothing regulariser.
if nargin<2
w=1;
end
if w<0
error('Weight must be possitive');
end
ndsrch = [simp,(1:size(simp,1))'];
sm2 =spalloc(size(simp,1),size(simp,1),80*size(simp,1));
for i=1:size(ndsrch,1)
t_id = ndsrch(i,1:size(simp,2));
X2simp = [];
Xsimp = [];
for j =1:length(t_id)
t_nd = t_id(j);
X1 = find(simp(:,1)==t_nd);
X2 = find(simp(:,2)==t_nd);
X3 = find(simp(:,3)==t_nd);
X4 = find(simp(:,3)==t_nd);
XX = unique([X1;X2;X3;X4]);
Xsimp = [Xsimp;XX];
end
Joined = simp(Xsimp,:);
Jr = unique(Joined);
for k=1:length(Jr)
t_2nd = Jr(k);
XX1 = find(simp(:,1)==t_2nd);
XX2 = find(simp(:,2)==t_2nd);
XX3 = find(simp(:,3)==t_2nd);
XX4 = find(simp(:,4)==t_2nd);
XXX = unique([XX1;XX2;XX3;XX4]);
X2simp = [X2simp;XXX];
end
Xdif = setdiff(Xsimp,i);
Xdif2 = setdiff(X2simp,i);
sm2(i,Xdif) = -0.5*w;
sm2(i,Xdif2) = -1/w;
sm2(i,i) = abs(sum(sm2(i,:)));
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This is part of the EIDORS suite.
% Copyright (c) N. Polydorides 2001
% Copying permitted under terms of GNU GPL
% See enclosed file gpl.html for details.
% EIDORS 3D version 1.0
% MATLAB version 5.3 R11
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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