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Texture analysis and classification using deterministic tourist walk

Andre Ricardo Backes and Wesley Nunes Goncalves and Alexandre Souto Martinez and Odemir Martinez Bruno

PATTERN RECOGNITION, 43(3):685-694, 2010

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.