Reflection and Rotation Invariant Uniform Patterns for Texture Classification

Chao LIANG  Wenming YANG  Fei ZHOU  Qingmin LIAO  

IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.5   pp.1400-1403
Publication Date: 2016/05/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Oriented Local Binary Patterns (OLBP),  LBP,  Completed LBP,  texture classification,  

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In this letter, we propose a novel texture descriptor that takes advantage of an anisotropic neighborhood. A brand new encoding scheme called Reflection and Rotation Invariant Uniform Patterns (rriu2) is proposed to explore local structures of textures. The proposed descriptor is called Oriented Local Binary Patterns (OLBP). OLBP may be incorporated into other varieties of Local Binary Patterns (LBP) to obtain more powerful texture descriptors. Experimental results on CUReT and Outex databases show that OLBP not only significantly outperforms LBP, but also demonstrates great robustness to rotation and illuminant changes.