Reflection and Rotation Invariant Uniform Patterns for Texture Classification

被引：1
|
作者：
Liang, Chao [1 ,2 ,3 ]
Yang, Wenming [1 ,2 ,3 ]
Zhou, Fei [1 ,2 ,3 ]
Liao, Qingmin [1 ,2 ,3 ]
机构：
[1] Tsinghua Univ, Grad Sch Shenzhen, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Shenzhen Key Lab Informat Sci & Technol, Guangzhou, Guangdong, Peoples R China
[3] Tsinghua PolyU Biometr Joint Lab, Visual Informat Proc Lab, Guangzhou, Guangdong, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2016年 / E99D卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Oriented Local Binary Patterns (OLBP); LBP; Completed LBP; texture classification;
D O I：
10.1587/transinf.2015EDL8193
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1400 / 1403
页数：4
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