gusucode.com > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM源码程序 > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM\stprtool\datasets\pgm2xi.m
function [X,I,K,width,height]=pgm2xi(root,from,to) % [X,I,K,width,height]=pgm2xi(root,from,to) % % PGM2XI reads PGM.* images from directories numbered by % numbers from - to. These directories are in the root % directory. Loaded images are reshaped to the vector. % % Input: % root [string] name of the direcory where the numbered % direecories are placed. % from [1x1] number coresponding to the first class - name % of directory. % to [1x1] number coresponding to the last class - name % of directory. % % Output: % X [DxN] loaded images stored as N vectors of dimension D. % I [1xN] class labels of the vectors X which correspond to % the direcotry names (numbers). % K [1xC] contains numbers of vectors in each class. The C is % number of classes. % width [1x1] image width. % height [1x1] image height. % % See also X2PGM, PGM2X % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Czech Technical University Prague, http://cmp.felk.cvut.cz % Written Vojtech Franc (diploma thesis) % Modifications % 27-feb-2001 V.Franc K=zeros(1,to-from+1); X=[]; I=[]; for class=from:to, cdir=dir([root '/' num2str(class)]); for i=1:size(cdir,1), if cdir(i).isdir == 0, [x,width,height]=pgm2x([root '/' num2str(class) '/' cdir(i).name]); K(class-from+1)=K(class-from+1)+1; X=[X,x]; I=[I class]; end end end return;