feature extraction using local binary pattern

What feature vector are we getting after texture analysis using local binary patterns? Like for example if we want color feature extraction we can consider mean,standard deviation etc...similarly what features we can extract using local binary pattern.

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Please elaborate your question with examples. We're not here to answer assignment questions.
shalini c
shalini c on 25 Mar 2015
Edited: shalini c on 25 Mar 2015
Actually what I wanted is how do I extract lbp feature vector after doing the above code and what feature vector are we getting ? so that I can feed this feature vector for neural classification.

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Answers (1)

you will get a binary pattern like 10100011 .wich will be unique for every image.

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% if true
m=size(I2,1);
n=size(I2,2);
for i=2:m-1
for j=2:n-1
c=I2(i,j);
I3(i-1,j-1)=I2(i-1,j-1)>c;
I3(i-1,j)=I2(i-1,j)>c;
I3(i-1,j+1)=I2(i-1,j+1)>c;
I3(i,j+1)=I2(i,j+1)>c;
I3(i+1,j+1)=I2(i+1,j+1)>c;
I3(i+1,j)=I2(i+1,j)>c;
I3(i+1,j-1)=I2(i+1,j-1)>c;
I3(i,j-1)=I2(i,j-1)>c;
LBP(i,j)=I3(i-1,j-1)*2^7+I3(i-1,j)*2^6+I3(i-1,j+1)*2^5+I3(i,j+1)*2^4+I3(i+1,j+1)*2^3+I3(i+1,j)*2^2+I3(i+1,j-1)*2^1+I3(i,j-1)*2^0;
end
end
figure(); imshow(LBP);
% code
After getting the Lbp value for each pixel..How do I extract feature vector from the histogram ??
https://in.mathworks.com/help/vision/ref/extractlbpfeatures.html

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Asked:

on 24 Mar 2015

Commented:

on 13 Mar 2017

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