NDLI: Completed Local Binary Count for Rotation Invariant Texture Classification

Content Provider	IEEE Xplore Digital Library
Author	Yang Zhao De-Shuang Huang Wei Jia
Copyright Year	1992
Abstract	In this brief, a novel local descriptor, named local binary count (LBC), is proposed for rotation invariant texture classification. The proposed LBC can extract the local binary grayscale difference information, and totally abandon the local binary structural information. Although the LBC codes do not represent visual microstructure, the statistics of LBC features can represent the local texture effectively. In addition, a completed LBC (CLBC) is also proposed to enhance the performance of texture classification. Experimental results obtained from three databases demonstrate that the proposed CLBC can achieve comparable accurate classification rates with completed local binary pattern.
Sponsorship	IEEE Signal Processing Society
Page Count	6
File Size	397125
Starting Page	4492
Ending Page	4497
File Format	PDF
ISSN	10577149
Volume Number	21
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Gray-scale Lighting Data mining Encoding Training Histograms texture classification Local binary count (LBC) local binary pattern (LBP) rotation invariance
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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Completed Local Binary Count for Rotation Invariant Texture Classification