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Reseach Article

Compound Local Binary Pattern (CLBP) for Rotation Invariant Texture Classification

by Faisal Ahmed, Emam Hossain, A.S.M. Hossain Bari, Md. Sakhawat Hossen
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 6
Year of Publication: 2011
Authors: Faisal Ahmed, Emam Hossain, A.S.M. Hossain Bari, Md. Sakhawat Hossen
10.5120/4022-5724

Faisal Ahmed, Emam Hossain, A.S.M. Hossain Bari, Md. Sakhawat Hossen . Compound Local Binary Pattern (CLBP) for Rotation Invariant Texture Classification. International Journal of Computer Applications. 33, 6 ( November 2011), 5-10. DOI=10.5120/4022-5724

@article{ 10.5120/4022-5724,
author = { Faisal Ahmed, Emam Hossain, A.S.M. Hossain Bari, Md. Sakhawat Hossen },
title = { Compound Local Binary Pattern (CLBP) for Rotation Invariant Texture Classification },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 6 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number6/4022-5724/ },
doi = { 10.5120/4022-5724 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:26.287978+05:30
%A Faisal Ahmed
%A Emam Hossain
%A A.S.M. Hossain Bari
%A Md. Sakhawat Hossen
%T Compound Local Binary Pattern (CLBP) for Rotation Invariant Texture Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 6
%P 5-10
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The local binary pattern (LBP) provides a simple and efficient approach to gray-scale and rotation invariant texture classification. However, the LBP operator thresholds P neighbors at the value of the center pixel in a local neighborhood and employs a P-bit binary pattern to encode only the signs of the differences between the gray values. Thus, the LBP operator discards some important texture information. In this paper, we have proposed the compound local binary pattern (CLBP), an extension of the LBP texture operator for rotation invariant texture classification. The CLBP operator exploits 2P bits to encode the information of a local neighborhood of P neighbors, where the extra P bits are used to express the magnitude information of the differences between the center and the neighbor gray values. A feature representation method based on CLBP codes is presented. Experimental results show that, the classification rate of the proposed method is appreciable.

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Index Terms

Computer Science
Information Sciences

Keywords

Compound local binary pattern Local binary pattern Support vector machine Texture classification Brodatz album.