| Texto completo | |
| Autor(es): |
do Nascimento, Arlyson Alves
;
Valle, Marcos Eduardo
;
Burgeth, B
;
Kleefeld, A
;
Naegel, B
;
Passat, N
;
Perret, B
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING, ISMM 2019; v. 11564, p. 13-pg., 2019-01-01. |
| Resumo | |
Mathematical morphology (MM) is a powerful theory widely used for image processing and analysis. Distance-based morphological operators are parametrized by a reference value so that a dilation enlarges regions of an image similar to the reference while an erosion shrinks them. In this paper, we first characterize distance-based erosions, dilations, and gradients as a function of the reference. Then, assuming the reference is a sample from a random variable, we use a descriptive statistic to obtain relevant information on a certain distance-based morphological operator. We validate our approach by presenting a successful application of some statistics of distance-based morphological operators for edge detection in color images. (AU) | |
| Processo FAPESP: | 19/02278-2 - Morfologia Matemática e Redes Neurais Morfológicas para Dados Multi-valorados |
| Beneficiário: | Marcos Eduardo Ribeiro Do Valle Mesquita |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |