Texture analysis and classification using deterministic tourist walk
- BACKES, Andre Ricardo
- GONCALVES, Wesley Nunes
- MARTINEZ, Alexandre Souto
- BRUNO, Odemir Martinez
DOIAbstract
In this paper, we present a study on a deterministic partially self-avoiding walk (tourist walk), which provides a novel method for texture feature extraction. The method is able to explore an image on all scales simultaneously. Experiments were conducted using different dynamics concerning the tourist walk. A new strategy, based on histograms. to extract information from its joint probability distribution is presented. The promising results are discussed and compared to the best-known methods for texture description reported in the literature. (C) 2009 Elsevier Ltd. All rights reserved.FAPESP[2006/54367-9]Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)FAPESP[2008/03...
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