letterIEEE Transactions on Image ProcessingMar 9, 2010Closed access

A Completed Modeling of Local Binary Pattern Operator for Texture Classification

Tsinghua University · Hong Kong Polytechnic University

PubMed
Indexed incrossrefpubmed

Abstract

In this correspondence, a completed modeling of the local binary pattern (LBP) operator is proposed and an associated completed LBP (CLBP) scheme is developed for texture classification. A local region is represented by its center pixel and a local difference sign-magnitude transform (LDSMT). The center pixels represent the image gray level and they are converted into a binary code, namely CLBP-Center (CLBP_C), by global thresholding. LDSMT decomposes the image local differences into two complementary components: the signs and the magnitudes, and two operators, namely CLBP-Sign (CLBP_S) and CLBP-Magnitude (CLBP_M), are proposed to code them. The traditional LBP is equivalent to the CLBP_S part of CLBP, and we…

Citation impact

2,106
total citations
FWCI
67.79
Percentile
100%
References
27
Citations per year

Authors

3

Topics & keywords

Keywords
  • Local binary patterns
  • Artificial intelligence
  • Thresholding
  • Pattern recognition (psychology)
  • Pixel
  • Mathematics
  • Computer vision
  • Invariant (physics)
No related works found for this paper.