function [featureVector] = makeImageFeatureTexture(img, type)
% Version 0.1, Feb 2006.
% This code is copyrighted by Ashutosh Saxena, Stanford University
% It is available for non-commercial use only. For commericial use, please
% contact the authors.
% Any publication or report resulting from Use of this code, should cite:
% Learning Depth from Single Monocular Images, Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng, NIPS 2005.
% 3-D Depth Reconstruction from a Single Still Image, Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng, To appear in IJCV 2007.
% For more info and dataset, visit: http://ai.stanford.edu/~asaxena/learningdepth/
% For a better version of the algorithm, also visit: 
% http://ai.stanford.edu/~asaxena/reconstruction3d/



persistent L3 E3 S3 L5 L7 gMask		% the Laws' masks

global columnWidth nGridCol nGridRow rowWidth
global scale2Factor
global nDim nLaw nHarris

if nargin < 2
	type = 'texture';
end

nGCol = nGridCol;
nGRow = nGridRow;

% Assume that the image is correctly oriented.
imheight = size(img, 1);
imwidth  = size(img, 2);
% Step sizes in x and y

H2 = calculateFilterBanks(img, type);

%imagefeatures = zeros(2*nLaw*3*nHarris);
imagefeatures = zeros(nLaw,1);

if nLaw
    %add spatial masks here
	imagefeatures(1:nLaw) = sum(sum(H2(:, :, 1:nLaw), 2), 1);
	%imagefeatures(nLaw+(1:nLaw)) = sum(sum(H4(:, :, 1:nLaw), 2), 1);
end
if nHarris
	% Do Harris here if need to
end

%featureVectorTmp = zeros( nGRow, nGCol, 2*nLaw+3*nHarris);
featureVectorTmp = zeros( nGRow, nGCol, nDim);

%numfeatures = 2*nLaw+3*nHarris
for f=1:nDim
	featureVectorTmp(:, :, f) = imagefeatures(f);
end

featureVector = featureVectorTmp;
%permute( featureVectorTmp, [3 1 2]);
%featureVector = reshape( featureVector3, [size(featureVector2,1)*size(featureVector3,2) nGridCol] );
%    if displayFlag
%        figure,
%        subplot(2,2,1), imshow(img);
%        subplot(2,2,2), imagesc(ycbcr_img(:,:,1));
%        subplot(2,2,4), imagesc(ycbcr_img(:,:,2));
%        subplot(2,2,3); plot( squeeze(featureVector(frame,:,:)) );
%        axis tight;
%    end
return;