如何在matlab里批量将JPG格式图片转成MAT格式文件？

http://blog.csdn.net/yongjiankuang/article/details/72824081

考虑到很多人遇到图片转成.mat文件的需要，本文特此贴出一次性将多个文件夹下的图片转化为.mat，同时给数据打上标签，希望能够帮到大家！

%这里是主函数：命名为readImg.m;

 clc;clear;
 %---read_image;
 filepath = 'G:\人脸重建\data\src_all\';%图片路径可以根据自己需要修改;
 pic = '*jpg';%图片格式，根据自己的图片格式进行修改;
 database = build_database_src(filepath,pic);

%build_database_src.m子函数;

 function database = build_database_src(rt_data_dir,suffix)

 fprintf('dir the database');
 subfolders = dir(rt_data_dir);

 database = [];

 database.imnum = 0;
 database.cname = {};
 database.label = [];
 database.path = [];
 database.nclass = 0;
 label = 0;

 k = 1;
 src_x = [];
 src_y = [];

 for ii = 1 : length(subfolders)
     subname = subfolders(ii).name;

     if ~strcmp(subname,'.') & ~strcmp(subname,'..')

         database.nclass = database.nclass + 1;
         database.cname{database.nclass} = subname;

         frames = dir(fullfile(rt_data_dir,subname,suffix));
         c_num = length(frames);

         database.imnum = database.imnum + c_num;
         database.label = [database.label;ones(c_num,1) * database.nclass];

         label = numel(database.cname);

         for jj = 1 : c_num
             fprintf('folder : %d , num : %d \n',ii - 1,jj);

             kk1 = frames(jj).name;%显示具体图片名;
             c_path = fullfile(rt_data_dir,subname,frames(jj).name);
             database.path = [database.path,c_path];
             img = imread(database.path);%读取图片;
             im = imresize(img,[64,64]);%设置图片大小;

             if(length(size(im)) == 3)%如果是彩色图进行灰度化(根据个人需要);
                 gray = rgb2gray(im);
             else
                 gray = im;
             end

             gray = double(gray) / 255;%对图片数据做归一化(根据个人需要);
             database.path = [];

             src_x(:,:,k) = gray;%存储图像数据;
             src_y(1,k) = label;%给数据加标签;
             k = k + 1;
         end
     end

 end

 %保存转化好的.mat文件;
 file = ['src_x.mat'];
 save(file,'src_x','-mat');
 file = ['src_y.mat'];
 save(file,'src_y','-mat');

 end

我的路径：G:\人脸重建\data\src_all，如下所示：

运行程序可以看到生成两个.mat文件：