Content-aware image smoothing based on fuzzy clustering
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
|
10.1007/978-3-031-08974-9_35
Resumen
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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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 proposal and put it
to the test in the context of automatic analysis of immunohistochemistry
imagery for neural tissue analysis. [--]
Materias
Fuzzy clustering,
Image smoothing,
Progressive supranuclear palsy
Editor
Springer
Publicado en
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
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
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.