matlab映像紋理特徵提取

clear all;clc;ImagePath='D:\Caffe\Examples\WangYu\C2\WithAugment\Data\train_image\';Images = dir([ImagePath, '*.tif']);PictureNums = length(Images);FitureNums = 8;gray_comatrix=zeros(PictureNums,FitureNums);label_features=zeros(PictureNums,FitureNums+1);for i=1:PictureNums    i    name = Images(i).name;    I=imread([ImagePath,name]);        B=rgb2gray(I);        H=graycomatrix(B,'GrayLimits',[],'NumLevels', FitureNums,'Offset',[0 1;-1 1;0 -1;-1 -1]);%得到灰階共生矩陣    stats=new_graycoprops(H,'all');        Energy = [];    Energy= [Energy,stats.Energy];    Energy=mean(Energy);        Contrast=[];    Contrast=[Contrast,stats.Contrast];    Contrast=mean(Contrast);        Correlation=[];    Correlation=[Correlation,stats.Correlation];    Correlation=mean(Correlation);        Dissimilarity=[];    Dissimilarity=[Dissimilarity,stats.Dissimilarity];    Dissimilarity=mean(Dissimilarity);        Entropy=[];    Entropy=[Entropy,stats.Entropy];    Entropy=mean(Entropy);        Homogeneity=[];    Homogeneity=[Homogeneity,stats.Homogeneity];    Homogeneity=mean(Homogeneity);        Mean=[];    Mean=[Mean,stats.Mean];    Mean=mean(Mean);        Variance=[];    Variance=[Variance,stats.Variance];    Variance=mean(Variance);        %     gray_comatrix(i,1)=Energy;    %     gray_comatrix(i,2)=Contrast;    %     gray_comatrix(i,3)=Correlation;    %     gray_comatrix(i,4)=Dissimilarity;    %     gray_comatrix(i,5)=Entropy;    %     gray_comatrix(i,6)=Homogeneity;    %     gray_comatrix(i,7)=Mean;    %     gray_comatrix(i,8)=Variance;        %類別標籤    if(name(1)=='C')        label = 1;    else        label = 0;    end    label_features(i,1) = label;    label_features(i,2) = Energy;    label_features(i,3) = Contrast;    label_features(i,4) = Correlation;    label_features(i,5) = Dissimilarity;    label_features(i,6) = Entropy;    label_features(i,7) = Homogeneity;    label_features(i,8) = Mean;    label_features(i,9) = Variance;end% save('mat檔案名稱', '變數名') save('label_features', 'label_features');