MATLAB小函数：展示灰度图像数据集的部分样例
作者：凯鲁嘎吉 - 博客园 http://www.cnblogs.com/kailugaji/
更多请看：MATLAB作图
给定一个.mat文件的灰度图像数据集，用MATLAB程序展示该图像数据集的一部分样例，每一类都展示相同数目的样例图，并将它们汇总成一幅图并保存图片。数据来源：Face databases (Yale, ORL, PIE and YaleB)
1. MATLAB程序
Image_integration.m
function Image_samples=Image_integration(data, real_label, N_samples)
% Gray image integration
% This code only applies to square matrices
% Input:
% data: dataset. N*Dim
% real_label: GroundTruth. N*1
% N_samples: number of selected samples
% Output:
% Image_samples:Integrated image
% Author: kailugaji https://www.cnblogs.com/kailugaji/
[~, Dim]=size(data);
[real_label, b]=sort(real_label);
data=data(b, :);
K=length(unique(real_label)); % number of cluster
[~, ID]=unique(real_label);
ID=ID-1;
image_10=cell(N_samples, K);
temp=cell(N_samples, K);
Image_samples=[];
for i=1:N_samples
for j=1:K
temp{i, j}=reshape(data(ID(j)+i, :), sqrt(Dim), sqrt(Dim)); % you can change its size
image_10{i, j}=[image_10{i, j}, temp{i, j}];
end
Image_samples=[Image_samples; image_10{i, :}];
end
demo.m
clear clc % Author: kailugaji https://www.cnblogs.com/kailugaji/ interval=7; % The size of the middle space N_samples=10; % number of selected samples load(\'ORL_64x64.mat\') Image_samples=Image_integration(fea, gnd, N_samples); A=mat2gray(Image_samples); figure(1) imshow(A, \'Border\',\'tight\'); print(gcf,\'-r1000\',\'-djpeg\',\'My_ORL.jpg\'); load(\'Yale_64x64.mat\') Image_samples=Image_integration(fea, gnd, N_samples); B=mat2gray(Image_samples); figure(1) imshow(B, \'Border\',\'tight\'); print(gcf,\'-r1000\',\'-djpeg\',\'My_Yale.jpg\'); A_=imresize(A,[500, 2000]); B_=imresize(B,[500, 750]); C=[A_, 255.*ones(size(A_(:, 1:interval, :))), B_]; figure(3) imshow(C, \'Border\',\'tight\'); print(gcf,\'-r1000\',\'-djpeg\',\'My_Image.jpg\');
