| Texto completo | |
| Autor(es): |
Florindo, Joao B.
;
Landini, Gabriel
;
Bruno, Odemir M.
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PATTERN RECOGNITION LETTERS; v. 84, p. 239-244, DEC 1 2016. |
| Citações Web of Science: | 4 |
| Resumo | |
This work proposes a new method of texture analysis for grey-level images based on the distribution of connectivity indexes in local neighbourhoods. The connectivity index acts as a measure of homogeneity of textures and its distribution is computed at various local neighbourhood sizes. The resulting descriptors provide an efficient multiscale representation of connectivity at different scales. The method was tested in the classification of UIUC, Outex, and KTH-TIPS2b databases and outperformed several state-of-the-art approaches, including such as LBP, LBP+VAR, MR8, multifractals among others. (C) 2016 The Authors. Published by Elsevier B.V. (AU) | |
| 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: | 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: | 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 |