Content-aware image smoothing based on fuzzy clustering
View/
Date
2022Author
Version
Acceso abierto / Sarbide irekia
Type
Contribución a congreso / Biltzarrerako ekarpena
Version
Versión aceptada / Onetsi den bertsioa
Project Identifier
European Commission/Horizon 2020 Framework Programme/801586 
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/ 
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/
Impact
Abstract
Literature contains a large variety of content-aware smoothing methods. As opposed to classical smoothing methods, content-aware
ones intend to regularize the image while avoiding the loss of relevant
visual information. In this work, we propose a novel approach to contentaware image smoothing based on fuzzy clustering, specifically the Spatial
Fuzzy c-Means (SFCM) algorithm. We develop the pr ...
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Subject
Fuzzy clustering,
Image smoothing,
Progressive supranuclear palsy
Publisher
Springer
Published in
Ciucci, D.; Couso, I.; Medina, J.; Slezak, D.; Petturiti, D.; Bouchon-Meunier, B.; Jager, R. R. (eds.). Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2022. Cham: Springer International Publishing; 2022. p.443-454 978-3-031-08973-2
Departament
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Publisher version
Sponsorship
The authors gratefully acknowledge the financial support of the Spanish Ministry of
Science (Project PID2019-108392GB-I00 AEI/FEDER, UE), as well as the funding
from the European Union’s H2020 research and innovation programme under Marie
Sklodowska-Curie Grant Agreement Number 801586.
