A question about Block PCA application

I have a problem in applying PCA method to block pictures.I mean,intending to apply PCA method to SubPictures.as the followed:

allsamples = []; Subs = []; for i = 1:64 for j = 1:10 str = 'C:\Users\liu90\Desktop\FV_sample3\train\s_'; in1 = imread(strcat(str,num2str(i),'_',num2str(j),'.bmp')); r = 6; c= 5; [m n] = size(in1); %计算分区的大小 mPartitionSize = floor(m / r); nPartitionSize = floor(n / c);

        for ii = 1:r-1
            for jj = 1:c-1
               Sub = in1((ii-1)*mPartitionSize+1:ii*mPartitionSize,(jj-1)*nPartitionSize+1:jj*nPartitionSize);
               Sub = double(Sub);
               b=Sub(1:15*30);
               b=double(b);
               Subs=[Subs;b];

              % allsamples = [allsamples;Subs];
            end        
        end 
       %      Subs = fastfPCA(Subs,5);
       %      Subs(:) =Subs';
             allsamples = [allsamples;Subs];
    end
end

the dataset contains 640 pictures,each picture will be divided into 6*5=30 SubPictures,how can I do PCA to each picture and then I want to use the data to train SVM to classify. I want the SubPictures of the same previous Pciture to make up a matrix then do PCA to it and use the results to make up a big matrix contains the main information of the 640 pictures,then classify them by SVM. How can I solve the problem?please help me!