Fusion of complex networks and randomized neural networks for texture analysis

Autor(es)

Ribas, Lucas C. ^{[1, 2]} ; Sa Junior, Jarbas Joaci de Mesquita ^[3] ; Scabini, Leonardo F. S. ^[2] ; Bruno, Odemir M. ^{[1, 2]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Math & Comp Sci, Ave Trabalhador Sao Carlense, Sao Carlos 13566590, SP - Brazil

^[2] Univ Sao Paulo, Sao Carlos Inst Phys, POB 369, Sao Carlos 13560970, SP - Brazil

^[3] Univ Fed Ceara, Curso Engn Computacao, Programa Posgrad Engn Eletr & Computacao, Campus Sobral, Rua Coronel Estanislau Frota 563, Sobral 62010560, CE - Brazil

• Tipo de documento: Artigo Científico
• Fonte: PATTERN RECOGNITION; v. 103, JUL 2020.
• Citações Web of Science: 0

Resumo

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 network and its topological properties as well as the image pixels are used to train randomized neural networks to create a signature that represents the deep characteristics of the texture. The results obtained surpassed the accuracy 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. (C) 2019 Published by Elsevier Ltd. (AU)

• Processo FAPESP: 16/23763-8 - Modelagem e análise de redes complexas para visão computacional
• Beneficiário: Lucas Correia Ribas
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 16/18809-9 - Deep learning e redes complexas aplicados em visão computacional
• Beneficiário: Odemir Martinez Bruno
• Modalidade de apoio: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE
• Processo FAPESP: 14/08026-1 - Visão artificial e reconhecimento de padrões aplicados em plasticidade vegetal
• Beneficiário: Odemir Martinez Bruno
• Modalidade de apoio: Auxílio à Pesquisa - Regular