1 code implementation • 29 Jul 2021 • Leonardo F. S. Scabini, Odemir M. Bruno
Results show that these measures are highly related to the network classification performance.
no code implementations • 10 Jul 2020 • Lucas C. Ribas, Leonardo F. S. Scabini, Jarbas Joaci de Mesquita Sá Junior, Odemir M. Bruno
Experimental results show a high classification performance of the proposed method when compared to other methods, indicating that our approach can be used in many image analysis problems.
1 code implementation • 13 Sep 2019 • Leonardo F. S. Scabini, Lucas C. Ribas, Odemir M. Bruno
Texture is one of the most-studied visual attribute for image characterization since the 1960s.
no code implementations • 24 Jun 2018 • Lucas C. Ribas, Jarbas J. M. Sa Junior, Leonardo F. S. Scabini, Odemir M. Bruno
This paper presents a high discriminative texture analysis method based on the fusion of complex networks and randomized neural networks.
no code implementations • 2 Apr 2018 • Leonardo F. S. Scabini, Rayner H M Condori, Wesley N Gonçalves, Odemir M. Bruno
A new method based on complex networks is proposed for color-texture analysis.