Opposite Color Local Binary Patterns (OC-LBP)

Implementation of LBP (Texture analysis) incorporating colors

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The function implements OC-LBP (Opposite COlor Local Binary Pattern analysis).
See OC-LBP description in: [1] Maenpaa T. "The local binary pattern approach to texture analysis{extensions and applications"; 2003. Ph.D. thesis, University of Oulu. [2] Maenpaa T. Matti P. and Jaakko V."Separating Color and Pattern Information for Color Texture Discrimination"; University of Oulu, Finland

Syntax
OCLBP= oppositeColorLBP(inImg);
OCLBP= oppositeColorLBP(inImg, filtDims);
OCLBP= oppositeColorLBP(inImg, filtDims, chnsComb);
OCLBP= oppositeColorLBP(inImg, filtDims, chnsComb, isEfficient);

Description
The OCLBP tests the relation between pixel and it's neighbors, encoding this relation into a binary word. This allows detection of patterns/features. As opposed to the regular LBP, the pixel and it's neighborhood can belong to different colors, thus resulting in ac Opposite Color relations. This operator is proposed to identify inter color pattern relation, capable of achieving much richer feature space.

Citation pour cette source

Nikolay S. (2026). Opposite Color Local Binary Patterns (OC-LBP) (https://fr.mathworks.com/matlabcentral/fileexchange/44284-opposite-color-local-binary-patterns-oc-lbp), MATLAB Central File Exchange. Extrait(e) le .

Remerciements

Inspiré par : Local binary patterns, Snail/helix matrix indexing

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0.0.0