Deterministic tourist walks as an image analysis methodology based

Authors:
André R. Backes;Odemir M. Bruno;Mônica G. Campiteli;Alexandre S. Martinez
Affiliations:
Universidade de São Paulo (USP), Instituto de Ciências Matemáticas e de Computação (ICMC), São Carlos, SP, Brazil;Universidade de São Paulo (USP), Instituto de Ciências Matemáticas e de Computação (ICMC), São Carlos, SP, Brazil;Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil;Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

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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.