Ordered directional monotonicity in the construction of edge detectors

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Date
2021Author
Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión aceptada / Onetsi den bertsioa
Project Identifier
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/
Impact
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10.1016/j.fss.2020.07.002
Abstract
In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction method can be used to build edge detectors for grayscale images. We compare the results of these detectors to those obtained with some other ones that are widely used in the literature. Finally, we show how a consensus edge detector can be ...
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In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction method can be used to build edge detectors for grayscale images. We compare the results of these detectors to those obtained with some other ones that are widely used in the literature. Finally, we show how a consensus edge detector can be built improving the results obtained both by our proposal and by those in the literature when applied individually. [--]
Subject
Ordered directionally monotone function,
Directional monotonicity,
Edge detection,
Consensus image
Publisher
Elsevier
Published in
Fuzzy Sets and Systems, Vol. 421, 30 September 2021, Pages 111-132
Departament
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC /
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila /
Universidad Pública de Navarra. Departamento de Ingeniería /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila
Publisher version
Sponsorship
This work was supported by the Slovak Research and Development Agency through grant APVV-18-0052 and the Grant Agency of the Czech Republic, through grant GACR 1806915S, and by the Spanish Government through project PID2019-108392GB-I00 (AEI/FEDER, UE) .