| Full text | |
| Author(s): |
Backes, Andre Ricardo
[1]
;
Goncalves, Wesley Nunes
[1]
;
Martinez, Alexandre Souto
[2]
;
Bruno, Odemir Martinez
[3]
Total Authors: 4
|
| Affiliation: | [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
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | PATTERN RECOGNITION; v. 43, n. 3, p. 685-694, MAR 2010. |
| Web of Science Citations: | 59 |
| Abstract | |
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) | |
| FAPESP's process: | 08/03253-9 - Deterministic Walks in Complex Network applied in Computer Vision and Pattern Recognition |
| Grantee: | Wesley Nunes Gonçalves |
| Support Opportunities: | Scholarships in Brazil - Master |