Texture analysis and classification using deterministic tourist walk

Autor(es)

Backes, Andre Ricardo ^[1] ; Goncalves, Wesley Nunes ^[1] ; Martinez, Alexandre Souto ^[2] ; Bruno, Odemir Martinez ^[3]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, BR-13560970 Sao Carlos, SP - Brazil

^[2] Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, BR-14040901 Ribeirao Preto, SP - Brazil

^[3] Univ Sao Paulo, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: PATTERN RECOGNITION; v. 43, n. 3, p. 685-694, MAR 2010.
• Citações Web of Science: 59

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. (AU)

• Processo FAPESP: 06/54367-9 - Estudos de métodos de análise de complexidade em imagens
• Beneficiário: André Ricardo Backes
• Linha de fomento: Bolsas no Brasil - Doutorado
• Processo FAPESP: 08/03253-9 - Caminhadas determinísticas em redes complexas aplicadas em visão computacional e reconhecimento de padrões
• Beneficiário: Wesley Nunes Gonçalves
• Linha de fomento: Bolsas no Brasil - Mestrado