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feature extraction using local binary pattern

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shalini c
shalini c el 24 de Mzo. de 2015
Comentada: pranjit das el 13 de Mzo. de 2017
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.
  2 comentarios
Sad Grad Student
Sad Grad Student el 24 de Mzo. de 2015
Please elaborate your question with examples. We're not here to answer assignment questions.
shalini c
shalini c el 25 de Mzo. de 2015
Editada: shalini c el 25 de Mzo. de 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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Respuestas (1)

Stalin Samuel
Stalin Samuel el 25 de Mzo. de 2015
you will get a binary pattern like 10100011 .wich will be unique for every image.
  2 comentarios
shalini c
shalini c el 22 de Abr. de 2015
% 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 ??
pranjit das
pranjit das el 13 de Mzo. de 2017
https://in.mathworks.com/help/vision/ref/extractlbpfeatures.html

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