Texture analysis using fractal descriptors estimated by the mutual interference of color channels

Autor(es)

Casanova, D. ; Florindo, J. B. ; Falvo, M. ; Bruno, O. M.

• Tipo de documento: Artigo Científico
• Fonte: INFORMATION SCIENCES; v. 346, p. 58-72, JUN 10 2016.
• Citações Web of Science: 13

Resumo

This work presents a method for color texture analysis based on fractal geometry. The method is based on its predecessor {[}4] and consists of mapping each color channel onto a surface and dilating such surface by spheres with a variable radius. The descriptors are obtained from the relation between the volumes of the dilated surfaces and the dilation radii. The dilation process creates a mutual interference among the color channels. The proposed descriptors measure the degree of such interference as well as the complexity of pixel intensity arrangements. This combination provides a robust and precise texture description. The efficiency of the method is assessed in a classification task of well-known texture data sets and the results demonstrate that it outperforms the best approaches described in the literature. (C) 2016 Published by Elsevier Inc. (AU)

• Processo FAPESP: 11/01523-1 - Métodos de visão computacional aplicados à identificação e análise de plantas
• Beneficiário: Odemir Martinez Bruno
• Linha de fomento: Auxílio à Pesquisa - Regular
• 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: 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