Feature Local Binary Patterns

Jiayu Gu, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter presents a Feature Local Binary Patterns (FLBP) method that encodes both local and feature information, where the feature pixels may be broadly defined by, for example, the edge pixels, the intensity peaks or valleys in an image, or new feature information derived from the local binary patterns or LBP. FLBP thus is expected to perform better than LBP for texture description and pattern recognition. For a given pixel and its nearest feature pixel, a distance vector is first formed by pointing from the given pixel to the feature pixel. A True Center (TC), which is the center pixel of a neighborhood, is then located on the distance vector by a TC parameter. A Virtual Center (VC), which replaces the center pixel of the neighborhood, is specified on the distance vector by a VC parameter. FLBP is then defined by comparing the neighbors of the true center with the virtual center. Note that when both the TC and VC parameters are zero, FLBP degenerates to LBP, which indicates that LBP is a special case of FLBP. Other special cases of FLBP include FLBP1 when the VC parameter is zero and FLBP2 when the TC parameter is zero.

Original languageEnglish (US)
Title of host publicationCross Disciplinary Biometric Systems
EditorsChengjun Liu, Vijay Kumar Mago
Pages1-13
Number of pages13
DOIs
StatePublished - Dec 1 2012

Publication series

NameIntelligent Systems Reference Library
Volume37
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Information Systems and Management
  • Library and Information Sciences

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