Texture analysis and classification using deterministic tourist walk
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
20/10/2012
20/10/2012
2010
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| Resumo |
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[2008/03253-9] CNPq[303990/2007-4] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq[476862/20078] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq[306628/2007-4] Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CNPq[484474/2007-3] |
| Identificador |
PATTERN RECOGNITION, v.43, n.3, p.685-694, 2010 0031-3203 http://producao.usp.br/handle/BDPI/29619 10.1016/j.patcog.2009.07.017 |
| Idioma(s) |
eng |
| Publicador |
ELSEVIER SCI LTD |
| Relação |
Pattern Recognition |
| Direitos |
restrictedAccess Copyright ELSEVIER SCI LTD |
| Palavras-Chave | #Texture analysis #Texture recognition #Deterministic walk #Complex systems #FRACTAL DIMENSION #GABOR FILTERS #SEGMENTATION #IMAGES #MICROSCOPE #FEATURES #Computer Science, Artificial Intelligence #Engineering, Electrical & Electronic |
| Tipo |
article original article publishedVersion |
