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function vec = genFeatureVec(img)
bins = 16;
ncnls = 8;
cnls = zeros(size(img,1), size(img,2),ncnls);
cnls(:,:,1:3) = img;
cnls(:,:,4:6) = rgb2ycbcr(img);
hsv = rgb2hsv(img);
cnls(:,:,7:8) = hsv(:,:,1:2);
% Schmid
scVec=[
1,2;
1,4;
2,4;
1,6;
2,6;
3,6;
1,8;
2,8;
3,8;
1,10;
2,10;
3,10;
4,10];
gbVec = [
0.3,0,4,2;
0.3,0,8,2;
0.4,0,4,1;
0.4,0,8,2;
0.3,pi/2,4,2;
0.3,pi/2,8,2;
0.4,pi/2,4,1;
0.4,pi/2,8,2;];
gb = length(gbVec);
sc = length(scVec);
vec=[];
for i = 1:sc
for cnl = 1:ncnls
filt = schmidFilter(scVec(i,1),scVec(i,2));
pos = real(sum(sum(filt.*(filt>0))));
neg = real(sum(sum(filt.*(filt<0))));
ss = (pos-neg)/bins;
v = histcounts(imfilter(cnls(:,:,cnl), filt, 'symmetric'),(0:bins)*ss+neg);
vec=cat(2,vec,v);
end
end
for i = 1:gb
for cnl = 1:ncnls
filt = gaborFilter(gbVec(i,1),gbVec(i,2),gbVec(i,3),gbVec(i,4));
pos = real(sum(sum(filt.*(filt>0))));
neg = real(sum(sum(filt.*(filt<0))));
ss = (pos-neg)/bins;
v = histcounts(real(imfilter(cnls(:,:,cnl), filt, 'symmetric')),(0:bins)*ss+neg);
vec=cat(2,vec,v);
end
end
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