在 matlab中进行计算gabor filter，自己一步步的构建滤波器矩阵：
先构建gabor滤波器，然后和需要进行滤波的图像进行卷积
代码中的size用来确定gabor filter卷积模板窗口大小。但是这里的size的卷积模板有点偏小，一般都是乘上个系数，，或者4或者8.
% GABORFILTER Bi-dimensional Gabor filter with DC component compensation.% [G,GABOUT]=GABORFILTER(I,S,F,W,P) filters the input image I with the 2D% Gabor filter G described by the parameters S, F, W and P to create the % output filtered image GABOUT.% This version of the 2D Gabor filter is basically a bi-dimensional % Gaussian function centered at origin (0,0) with variance S modulated by% a complex sinusoid with polar frequency (F,W) and phase P described by % the following equation:%% G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)),% where:%Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2))%Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P)))%DC(F,S,P)=exp(-pi*(F/S)^2+j*P)%% PS: The term DC(F,S,P) compensates the inherent DC component produced % by the Gaussian envelop as shown by Movellan in [1].%% Tips:%1) To get the real part and the imaginary part of the complex %filter output use real(gabout) and imag(gabout), respectively;% %2) To get the magnitude and the phase of the complex filter output %use abs(gabout) and angle(gabout), respectively.%% References:%[1] Movellan, J. R. – Tutorial on Gabor Filters. Tech. rep., 2002.function [G,GABOUT]=gabor_a(I,S,F,W,P)if isa(I,’double’)~=1I=double(I);endsize=fix(1.5/S); % exp(-1.5^2*pi) < 0.1%%k=2*pi*S^2;%F=S^2/sqrt(2*pi);k=1;for x=-size:sizefor y=-size:sizeG(size+x+1,size+y+1)=k*exp(-pi*S^2*(x*x+y*y))*…(exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))-exp(-pi*(F/S)^2+j*P));endendGABOUT=conv2(I,double(G),’same’);
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