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Texture analysis and classification using deterministic tourist walk
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DOI：10.1016/j.patcog.2009.07.017.png)
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Abstract
En 中文
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.
Keywords:
Texture analysis
Texture recognition
Deterministic walk
Complex systems
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