| Texto completo | |
| Autor(es): |
Backes, Andre Ricardo
;
Casanova, Dalcimar
;
Bruno, Odemir Martinez
;
Bloch, I
;
Cesar, RM
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Lecture Notes in Computer Science; v. 6419, p. 2-pg., 2010-01-01. |
| Resumo | |
In this paper, we propose a novel texture analysis method using the complex network theory. It was investigated how a texture image can be effectively represented, characterized and analyzed in terms of a complex network. The propose uses degree measurements in a dynamic evolution network to compose a set of feasible shape descriptors. Results show that the method is very robust and it presents a very excellent texture discrimination for all considered classes. (AU) | |
| Processo FAPESP: | 06/54367-9 - Estudos de metodos de analise de complexidade em imagens. |
| Beneficiário: | André Ricardo Backes |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 08/57313-2 - Redes complexas em visão computacional, com aplicações em bioinformática |
| Beneficiário: | Dalcimar Casanova |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |