Ultra local binary pattern for image texture analysis

doi:10.1109/SPAC.2014.6982701

Details of Research Outputs

Title	Ultra local binary pattern for image texture analysis
Creator	Cheung，Yiu Ming 1,2; Deng，Junping 1
Date Issued	2014-12-11
Source Publication	Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
Pages	290-293
Abstract	Local Binary Pattern (LBP) is a simple yet powerful method for image feature extraction in pattern recognition and image processing. However, the LBP operator of each pixel mainly depends on its neighboring pixels and emphasizes on local information too much. From the practical viewpoint, the information is quite limited if we consider the LBP operator in isolation, especially for a large image. To deal with this issue, we propose ultra LBP (U-LBP), which consider the relationship among different LBP operators. The proposed method cannot only get the local but also ultra local information. The effectiveness of the proposed algorithm is investigated on gender recognition and digit recognition, respectively. The experimental results show that the proposed method outperforms the traditional LBP.
Keyword	Co-occurrence matrix Feature extraction Local binary pattern Ultra local binary pattern
DOI	10.1109/SPAC.2014.6982701
URL	View source
Language	英语English
Scopus ID	2-s2.0-84920747782
Citation statistics	Cited Times [WOS]:0 [WOS Record] [Related Records in WOS]
Document Type	Conference paper
Identifier	http://repository.uic.edu.cn/handle/39GCC9TT/6480
Collection	Beijing Normal-Hong Kong Baptist University
Affiliation	1.Department of Computer Science,Hong Kong Baptist University,Hong Kong 2.United International College,Beijing Normal University,Hong Kong Baptist University,Zhuhai,China
First Author Affilication	Beijing Normal-Hong Kong Baptist University
Recommended Citation GB/T 7714	Cheung，Yiu Ming,Deng，Junping. Ultra local binary pattern for image texture analysis[C], 2014: 290-293.

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