function [TrainDBN , TestDBN]=genererDB(dB,Pourcentage_Test)
mapping=getmapping(8,'u2');
V=[];
database=[];
dB.classes=[];
classes=[];
dB.Nbofclasses=50;
Pourcentage_Test= 0.3;
Pourcentage_Training= 70/100;
for i=1:50
for j=1:15
name=['S' num2str(i,'%02d') '_' num2str(j,'%02d') '.jpg'];
img=imread(name);
imgHist =lbp(img,1,8,mapping,'nh');
database=[database;imgHist];
imshow(img);
dB.NbImagesPerClass(i)=15;
classes=[classes;i];
dB.mat=database;
dB.classes=classes;
pause
end
J=randperm(dB.NbImagesPerClass);
for L=1:length(J)
if J(L)<=Pourcentage_Test*dB.NbImagesPerClass/100;
J(L)=0;
else
J(L)=1;
end
V=[V J];
end
V=V';
TrainDBN.mat=[];
TestDBN.mat=[];
TrainDBN.classes=[];
TestDBN.classes=[];
for k=1:length(V)
observation=dB.mat(k,:);
if(V(k)==1)
TrainDBN.mat=[TrainDBN.Mat; observation];
TrainDBN.classes=[TrainDBN.classes;dB.classes(k)];
else
TestDBN.mat=[TestDBN.mat; observation];
TestDBN.classes=[TestDBN.classes;dB.classes(k)];
end
end
TrainDBN.NbClasses=dB.Nbclasses;
TestDBN.NbClasses=dB.Nbclasses;
end
