matlab图像纹理特征提取

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]);%得到灰度共生矩阵
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;

%类别标签
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文件名', '变量名')
save('label_features', 'label_features');