Heuristic parametrization of anisotropic diffusion filtering

dc.contributor.author	González-Gutiérrez, Paulo
dc.contributor.author	Vásquez, Philip
dc.contributor.author	Alcaino-Jaque, Barbara E.
dc.contributor.author	Barrientos, Ricardo
dc.contributor.author	Mora, Marco
dc.contributor.author	Tirado-Marabolí, Felipe
dc.contributor.author	Tauber, Clovis
dc.date.accessioned	2019-06-28T21:39:53Z
dc.date.available	2019-06-28T21:39:53Z
dc.date.issued	2019
dc.identifier.uri	http://repositorio.ucm.cl/handle/ucm/2213
dc.description.abstract	The methods of evolutionary computation allow to set optimal values in a space of solutions from a candidate set. In this work, we have used evolutionary methods, for optimal parameters setting of the anisotropic diffusion filter in degraded images with additive noise. The experiments show the potential of the evolutionary methods to optimize the parametrization, with the objective of evaluating the performance of filters, applied on a set of degraded images with controlled conditions and a known ground truth.	es_CL
dc.language.iso	en	es_CL
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 Chile	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/cl/	*
dc.source	37th International Conference of the Chilean Computer Science Society (SCCC), 2018, 18638288	es_CL
dc.title	Heuristic parametrization of anisotropic diffusion filtering	es_CL
dc.type	Article	es_CL
dc.ucm.indexacion	Scopus	es_CL
dc.ucm.uri	ieeexplore.ieee.org/document/8705235/authors#authors	es_CL
dc.ucm.doi	doi.org/10.1109/SCCC.2018.8705235	es_CL

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