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Deterministic Tourist Walks as an Image Analysis Methodology Based

  • André R. Backes
  • Odemir M. Bruno
  • Mônica G. Campiteli
  • Alexandre S. Martinez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)

Abstract

Textures are important visual attribute used in image analysis. This paper presents a novel methodology, based on a deterministic walk, to texture analysis and texture characterization. Most of the methods adopted to classify textures deal with a defined fixed scale of texture. The method proposed here explores the set in all scales and is able to characterize efficiently different texture classes. The paper presents the deterministic walk technique and its results for two experiments using Brodatz images.

Keywords

Joint Distribution Signature Vector Cycle Period Texture Class Transient Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • André R. Backes
    • 1
  • Odemir M. Bruno
    • 1
  • Mônica G. Campiteli
    • 2
  • Alexandre S. Martinez
    • 2
  1. 1.Universidade de São Paulo (USP)Instituto de Ciências Matemáticas e de Computação (ICMC)São CarlosBrazil
  2. 2.Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP)Universidade de São Paulo (USP)Ribeirão PretoBrazil

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