Application of neutrosophic offsets for digital image processing

Florentin Smarandache, Miguel A. Quiroz-Martínez, Jesús Estupiñan Ricardo, Noel Batista Hernández, Maikel Y. Leyva Vázquez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

26 Citas (Scopus)

Resumen

Neutrophic offsets are neutrosophic sets whose truth-values lie outside the interval [0, 1].Uninorms are aggregation operators defined in fuzzy logic to generalize t-norms and t-conorms. They satisfy the axioms of symmetry, associativity, monotony and the existence of a neutral element. Fuzzy uninorms have been generalized to intuitionistic fuzzy sets, neutrosophic sets, and neutrosophic offsets, which are called offuninorms in the latter case. This paper aims to demonstrate that offsets and offuninorms can be used in digital image processing, especially for image segmentation and edge detection, moreover algorithms and examples are also provided.

Idioma originalInglés
Páginas (desde-hasta)603-611
Número de páginas9
PublicaciónInvestigacion Operacional
Volumen41
N.º5
EstadoPublicada - 2020

Nota bibliográfica

Publisher Copyright:
© 2020 Universidad de La Habana. All rights reserved.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Huella

Profundice en los temas de investigación de 'Application of neutrosophic offsets for digital image processing'. En conjunto forman una huella única.

Citar esto