from
Fast Gaussian Filtering
by Luigi Rosa
Recursive gaussian filtering.
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| prova.m |
clc;
close all;
clear;
x=[-16:1:16];
y=[-16:1:16];
dimx=size(x,2);
dimy=size(y,2);
varianza=3;
filtro=zeros(dimx,dimy);
for ii=1:dimx
for jj=1:dimy
esponente=exp(-(x(ii)^2+y(jj)^2)/(2*varianza^2));
filtro(ii,jj)=1/(2*pi*varianza^2)*esponente;
end
end
x=[-200:200];
y=[-200:200];
dimx=size(x,2);
dimy=size(y,2);
im=zeros(dimx,dimy);
for ii=1:dimx
for jj=1:dimy
im(ii,jj)=exp(-0.01*((x(ii)-20)^2+(y(jj)+30)^2));
end
end
ingresso=im;
%ingresso=rand(400,400);
tic;
y1=conv2(ingresso,filtro,'same');
toc;
tic;
y2=gaussian(ingresso,varianza,30);
toc
mesh(y2-y1)
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