A Gaussian pyramid approach to Bouligand-Minkowski fractal descriptors

Autor(es)

Florindo, Joao Batista ^{[1, 2]} ; Casanova, Dalcimar ^[3] ; Bruno, Odemir Martinez ^[2]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Inst Math Stat & Sci Comp, Rua Sergio Buarque de Holanda 651, BR-13083859 Campinas, SP - Brazil

^[2] Univ Sao Paulo, Sao Carlos Inst Phys, Sci Comp Grp, Ave Trabalhador Sao Carlense 400, BR-13560970 Sao Carlos, SP - Brazil

^[3] Univ Tecnol Fed Parana, Dept Informat, Via Conhecimento, Km 1, BR-85503390 Pato Branco, PR - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INFORMATION SCIENCES; v. 459, p. 36-52, AUG 2018.
• Citações Web of Science: 2

Resumo

This work proposes a method to extract features from texture images by applying a Gaussian pyramid multiscale approach to the Bouligand-Minkowski fractal descriptors. The proposal starts from the texture image and computes the stack of multi-resolution images that compose the pyramid, in both directions, of reduction and expansion. In the following, each image in the stack is mapped onto a surface, which is dilated by spheres with variable radii and the dilation volumes are used to compute the Bouligand-Minkowski fractal descriptors for each level. Both the descriptors of each level and combinations with descriptors from the original image are verified in the classification of well-known databases of textural images. The proposed method outperformed other classical and state-of-the-art descriptors with a significant advantage in most cases, including situations where random noise is added to the images. (C) 2018 Elsevier Inc. All rights reserved. (AU)

• Processo FAPESP: 12/19143-3 - Geometria Fractal e Análise de Imagens Aplicadas à Biologia Vegetal
• Beneficiário: Joao Batista Florindo
• Linha de fomento: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 13/22205-3 - Organização espacial de tecidos e análise fractal para a taxonomia automatizada de plantas
• Beneficiário: Joao Batista Florindo
• Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 14/08026-1 - Visão artificial e reconhecimento de padrões aplicados em plasticidade vegetal
• Beneficiário: Odemir Martinez Bruno
• Linha de fomento: Auxílio à Pesquisa - Regular
• Processo FAPESP: 16/16060-0 - Reconhecimento de Padrões em Imagens Baseado em Sistemas Complexos
• Beneficiário: Joao Batista Florindo
• Linha de fomento: Auxílio à Pesquisa - Regular