Texture analysis and classification using deterministic tourist walk

被引：78

作者：

Backes, Andre Ricardo ^{[2
]}

Goncalves, Wesley Nunes ^{[2
]}

Martinez, Alexandre Souto ^{[3
]}

Bruno, Odemir Martinez ^{[1
]}

机构：

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

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

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

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 03期

基金：

巴西圣保罗研究基金会;

关键词：

Texture analysis; Texture recognition; Deterministic walk; Complex systems; FRACTAL DIMENSION; SEGMENTATION; FEATURES;

D O I：

10.1016/j.patcog.2009.07.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：685 / 694

页数：10

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