Matlab 版 (精华区)
发信人: zjliu (秋天的萝卜), 信区: Matlab
标 题: Gabor小波算法(3)-----2-D图像处理
发信站: BBS 哈工大紫丁香站 (Tue Jul 13 14:01:28 2004)
发信站: 饮水思源
%%%%%%%VERSION 3
%%ANOTHER DESCRIBTION OF GABOR FILTER
%The Gabor filter is basically a Gaussian (with variances sx and sy along x
%and y-axes respectively)
%modulated by a complex sinusoid (with centre frequencies U and V along
% x and y-axes respectively)
%described by the following equation
%%
% 1 -1 x ^ y ^
%%% Gi(x,y) = ---------- * exp ([----{(----) 2+(----) 2}])*Mi(x,y,f);
% 2*pi*sx*sy 2 sx sy
%%% i =1,2
%%% M1(x,y,f) = cos[2*pi*f*sqrt(x^2+y^2)];
%%% M2(x,y,f) = cos[2*pi*f*(x*cos(theta) + y*sin(theta)];
%% Describtion :
%% I : Input image
%% I : Input image
%% Sx & Sy : Variances along x and y-axes respectively
%% f : The frequency of the sinusoidal function
%% theta : The orientation of Gabor filter
%% G1 & G2 : The output filters as described above
%% gabout1 & gabout2 : The output filtered images
%% Author : Ahmad poursaberi e-mail : a.poursaberi@ece.ut.ac.ir
%% Faulty of Engineering, Electrical&Computer Department,Tehran
%% University,Iran,June 2004
function [G1,G2,gabout1,gabout2] = gaborfilter(I,Sx,Sy,f,theta);
if isa(I,'double')~=1
I = double(I);
end
for x = -fix(Sx):fix(Sx)
for y = -fix(Sy):fix(Sy)
M1 = cos(2*pi*f*sqrt(x^2+y^2));
M2 = cos(2*pi*f*(x*cos(theta)+y*sin(theta)));
G1(fix(Sx)+x+1,fix(Sy)+y+1) = (1/(2*pi*Sx*Sy)) *...
exp(-.5*((x/Sx)^2+(y/Sy)^2))*M1;
G2(fix(Sx)+x+1,fix(Sy)+y+1) = (1/(2*pi*Sx*Sy)) *...
exp(-.5*((x/Sx)^2+(y/Sy)^2))*M2;
end
end
Imgabout1 = conv2(I,double(imag(G1)),'same');
Regabout1 = conv2(I,double(real(G1)),'same');
Imgabout2 = conv2(I,double(imag(G2)),'same');
Regabout2 = conv2(I,double(real(G2)),'same');
gabout1 = sqrt(Imgabout1.*Imgabout1 + Regabout1.*Regabout1);
gabout2 = sqrt(Imgabout2.*Imgabout2 + Regabout2.*Regabout2);
--
╔═══════════════════╗
║★★★★★友谊第一 比赛第二★★★★★║
╚═══════════════════╝
※ 修改:·zjliu 于 Jul 13 14:05:55 修改本文·[FROM: 202.118.229.*]
※ 来源:·哈工大紫丁香 http://bbs.hit.edu.cn·[FROM: 202.118.229.*]
Powered by KBS BBS 2.0 (http://dev.kcn.cn)
页面执行时间:2.534毫秒