Ica盲源分离Matlab程序
close all; clear all; i4=imread('1.jpg'; i5=imread('2.jpg'; i6=imread('2.png'; i1=rgb2gray(i4; i2=rgb2gray(i5; i3=rgb2gray(i6; s1=reshape(i1,[1,256*256]; s2=reshape(i2,[1,256*256]; s3=reshape(i3,[1,256*256]; s=[s1;s2;s3];sig=double(s; aorig=rand(size(sig,1; mixedsig=aorig*sig; ms1=reshape(mixedsig(1,:,[256,256]; ms2=reshape(mixedsig(2,:,[256,256]; ms3=reshape(mixedsig(3,:,[256,256]; figure; subplot(331,imshow(i1,subplot(332,imshow(i2,subplot(333,imshow(i3; subplot(334,imshow(uint8(ms1,subplot(335,imshow(uint8(ms2,subplot(336,imshow(uint8(ms3; % mixedsig=zeros(size(mixedsig; meanValue=mean(mixedsig''; mixedsig=mixedsig-meanValue*ones(1,size(mixedsig,2; covarianceMatrix=cov(mixedsig',1;
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