Thesis CTDIA prize

The Academic Dalcimar Casanova won the second best dissertation in the field of Artificial Intelligence. The prize was awarded by the Special Committee on Artificial Intelligence of the Brazilian Computer Society (SBC-CEIA) during the 2010 Joint Conference.

To read more visit: VII Best MSc Dissertation/PhD Thesis Contest in Artificial Intelligence

Texture analysis and classification: A complex network-based approach

Andre Ricardo Backes and Dalcimar Casanova and Odemir Martinez Bruno

INFORMATION SCIENCES, 219():168-180, 2013

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.