A Complex Network-Based Approach for Texture Analysis

Autor(es)

Backes, Andre Ricardo ; Casanova, Dalcimar ; Bruno, Odemir Martinez ; Bloch, I ; Cesar, RM

• 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