| Full text | |
| Author(s): |
Total Authors: 3
|
| Affiliation: | [1] Univ Fed Uberlandia, Fac Comp, Uberlandia, MG - Brazil
[2] Univ Sao Paulo, Inst Fis Sao Carlos, BR-05508 Sao Paulo - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | INFORMATION SCIENCES; v. 219, p. 168-180, JAN 10 2013. |
| Web of Science Citations: | 50 |
| Abstract | |
In this paper, we propose a novel texture analysis method using the complex network theory. We investigated how a texture image can be effectively represented, characterized and analyzed in terms of a complex network. The proposed approach uses degree measurements to compose a set of texture descriptors. The results show that the method is very robust, and it presents a excellent texture discrimination for all considered classes. overcoming traditional texture methods. (C) 2012 Elsevier Inc. All rights reserved. (AU) | |
| FAPESP's process: | 08/57313-2 - Complex networks in computer vision, with applications in bioinformatics |
| Grantee: | Dalcimar Casanova |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 11/01523-1 - Computer vision methods applied to the identification and analysis of plants |
| Grantee: | Odemir Martinez Bruno |
| Support Opportunities: | Regular Research Grants |