[1422d3]: / functions / functions_PCANet / PCA_fun / PCANet_FeaExt.m

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function [f, BlkIdx] = PCANet_FeaExt(InImg,V,PCANet)
% =======INPUT=============
% InImg Input images (cell)
% V given PCA filter banks (cell)
% PCANet PCANet parameters (struct)
% .PCANet.NumStages
% the number of stages in PCANet; e.g., 2
% .PatchSize
% the patch size (filter size) for square patches; e.g., [5 3]
% means patch size equalt to 5 and 3 in the first stage and second stage, respectively
% .NumFilters
% the number of filters in each stage; e.g., [16 8] means 16 and
% 8 filters in the first stage and second stage, respectively
% .HistBlockSize
% the size of each block for local histogram; e.g., [10 10]
% .BlkOverLapRatio
% overlapped block region ratio; e.g., 0 means no overlapped
% between blocks, and 0.3 means 30% of blocksize is overlapped
% .Pyramid
% spatial pyramid matching; e.g., [1 2 4], and [] if no Pyramid
% is applied
% =======OUTPUT============
% f PCANet features (each column corresponds to feature of each image)
% BlkIdx index of local block from which the histogram is compuated
% =========================
% addpath('./Utils')
if length(PCANet.NumFilters)~= PCANet.NumStages
fprintf('Length(PCANet.NumFilters)~=PCANet.NumStages\n')
return
end
NumImg = length(InImg);
OutImg = InImg;
ImgIdx = (1:NumImg)';
clear InImg;
for stage = 1:PCANet.NumStages
if stage == 1
%pca output
[OutImg, ImgIdx] = PCA_output(OutImg, ImgIdx, PCANet.PatchSize(stage), PCANet.NumFilters(stage), V{stage});
else %if stage == 1
%gabor output
%[OutImg, ImgIdx] = PCA_output(OutImg, ImgIdx, PCANet.PatchSize(stage), PCANet.NumFilters(stage), V{stage});
OutImg = Gabor_output(OutImg, V{stage}, PCANet.NumFilters(stage));
end %if stage == 1
end %for stage
OutImgIdx = kron(ImgIdx, ones(PCANet.NumFilters(end),1));
[f, BlkIdx] = HashingHist(PCANet, OutImgIdx, OutImg);
%
% assignin('base', 'OutImg', OutImg);
% assignin('base', 'PCANet', PCANet);
% assignin('base', 'ImgIdx', ImgIdx);
% pause