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arXiv · 1806.09170

Fusion of complex networks and randomized neural networks for texture analysis

Lucas C. Ribas·Jarbas J. M. Sa Junior·Leonardo F. S. Scabini·Odemir M. Bruno
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Abstract

This paper presents a high discriminative texture analysis method based on the fusion of complex networks and randomized neural networks. In this approach, the input image is modeled as a complex networks and its topological properties as well as the image pixels are used to train randomized neural networks in order to create a signature that represents the deep characteristics of the texture. The results obtained surpassed the accuracies of many methods available in the literature. This performance demonstrates that our proposed approach opens a promising source of research, which consists of exploring the synergy of neural networks and complex networks in the texture analysis field.

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BibTeXRIS

Lucas C. Ribas, Jarbas J. M. Sa Junior, Leonardo F. S. Scabini, Odemir M. Bruno. 2018-06-24. Fusion of complex networks and randomized neural networks for texture analysis. https://arxiv.org/abs/1806.09170

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