Artículos de revistas
Texture analysis and classification using deterministic tourist walk
PATTERN RECOGNITION, v.43, n.3, p.685-694, 2010
BACKES, Andre Ricardo
GONCALVES, Wesley Nunes
MARTINEZ, Alexandre Souto
BRUNO, Odemir Martinez
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.