Fuzzy morphological operators in image processing
Fecha
2003Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Impacto
|
nodoi-noplumx
|
Resumen
First of all, in this paper we propose a family of fuzzy implication operators,
which the generalised Luckasiewicz´s one, and to analyse the impacts of Smets
and Magrez properties on these operators. The result of this approach will be a
characterisation of a proposed family of inclusion grade operators (in Bandler and
Kohout´s manner) that satisfies the axioms of Divyendu and Dogherty. Secon ...
[++]
First of all, in this paper we propose a family of fuzzy implication operators,
which the generalised Luckasiewicz´s one, and to analyse the impacts of Smets
and Magrez properties on these operators. The result of this approach will be a
characterisation of a proposed family of inclusion grade operators (in Bandler and
Kohout´s manner) that satisfies the axioms of Divyendu and Dogherty. Second,
we propose a method to define fuzzy morphological operators (erosions and
dilations). A family of fuzzy implication operators and the inclusion grade are the
basis for this method. [--]
Materias
Implication operators,
Inclusion grade,
Erosion and dilation
Editor
Universitat Politècnica de Catalunya
Publicado en
Mathware & Soft Computing, 10 (2003), 85-100
Departamento
Universidad Pública de Navarra. Departamento de Automática y Computación /
Nafarroako Unibertsitate Publikoa. Automatika eta Konputazioa Saila