Local pixel patterns

Fangjun Huang, Xiaochao Qu, Hyoung Joong Kim, Jiwu Huang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In this paper, a new class of image texture operators is proposed. We firstly determine that the number of gray levels in each B · B subblock is a fundamental property of the local image texture. Thus, an occurrence histogram for each B · B sub-block can be utilized to describe the texture of the image. Moreover, using a new multi-bit plane strategy, i.e., representing the image texture with the occurrence histogram of the first one or more significant bit-planes of the input image, more powerful operators for describing the image texture can be obtained. The proposed approach is invariant to gray scale variations since the operators are, by definition, invariant under any monotonic transformation of the gray scale, and robust to rotation. They can also be used as supplementary operators to local binary patterns (LBP) to improve their capability to resist illuminance variation, surface transformations, etc.

Original languageEnglish
Pages (from-to)157-170
Number of pages14
JournalComputational Visual Media
Issue number2
Publication statusPublished - 2015 Jun 1


  • Gray scale
  • Multi-bit
  • Rotation
  • Texture

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence


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