Texture analysis and classification using deterministic tourist walk BACKES, A. R. ; GONÇALVES, W. N. ; MARTINEZ, A. S. ; BRUNO, O. M. Pattern Recognition, v. 43, p. 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.