Matlab读取图片的方法有很多种， 我给出的方法思想和他们的差不多一样，但是代码的风格可能有点区别， 可以学习。
方法1：
首先定义文件夹的名称：
- imgDir=\'.\coimg\\';
- imgDir2=\'.\\coimg\\%s\'; 用于读取图片
具体代码：
- oldPwd = pwd;
- cd(imgDir);
- x = dir;
- listOfImages = [];
- for i = 1:length(x),
- if x(i).isdir == 0,
- listOfImages = [listOfImages; x(i)];
- end;
- end;
- cd(oldPwd);
- fid=imgDir2;
- for j = 1:length(listOfImages)
- fileName = listOfImages(j).name;
- rfid=sprintf(fid,fileName);
- Irgb=imread(rfid);
- Iset{j}=Irgb;
- end
文中 x(i).isdir==0 其实意思是跳过i=1,2时，那是isdir==1,其实是为了跳过\'.\'，\'..\'，这个应该是操作系统的知识吧。。
最后将读取的图片放在Iset里面。
代码很简单。自己手写，测试成功
两幅图片在Iset里面啦 。。
小技巧值得注意。。。
方法2：
适合文件夹里面的图片批量处理，非常好的算法，应该值得学习。。
- function database = build_database(rt_data_dir,suffix)
- % This function is to build a database for the image sets
- % Input: rt_data_dir -- direction of image sets
- % suffix -- image format like \'jpg\'
- % Output: database -- database that contains all the information of
- % images
- % Written by Wei Q
- % July. 16, 2013
- fprintf(\'dir the database...\');
- subfolders = dir(rt_data_dir);
- database = [];
- database.imnum = 0; % total image number of the database
- database.cname = {}; % name of each class
- database.label = []; % label of each class
- database.path = {}; % contain the pathes for each image of each class
- database.nclass = 0;
- 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];
- for jj = 1:c_num,
- c_path = fullfile(rt_data_dir, subname, frames(jj).name);
- database.path = [database.path, c_path];
- end;
- end;
- end;
- disp(\'done!\');
应该试着自己写写。
方法3：（这种方法有点特别）
- ext = {\'*.jpeg\',\'*.jpg\',\'*.png\',\'*.pgm\'};
- images = [];
- for i = 1:length(ext)
- images = [images dir([path ext{i}])];
- end
- % images are returned with absolute path
- for i = 1:length(images)
- images(i).name = [path images(i).name];
- end
