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feature extraction using local binary pattern

조회 수: 5 (최근 30일)
shalini c
shalini c 2015년 3월 24일
댓글: pranjit das 2017년 3월 13일
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.
  댓글 수: 2
Sad Grad Student
Sad Grad Student 2015년 3월 24일
Please elaborate your question with examples. We're not here to answer assignment questions.
shalini c
shalini c 2015년 3월 25일
편집: shalini c 2015년 3월 25일
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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답변 (1개)

Stalin Samuel
Stalin Samuel 2015년 3월 25일
you will get a binary pattern like 10100011 .wich will be unique for every image.
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shalini c
shalini c 2015년 4월 22일
% 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 2017년 3월 13일
https://in.mathworks.com/help/vision/ref/extractlbpfeatures.html

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