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DC poleHodnotaJazyk
dc.contributor.authorBustacara-Medina, César
dc.contributor.authorFlórez-Valencia, Leonardo
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-21T09:54:58Z
dc.date.available2019-10-21T09:54:58Z
dc.date.issued2019
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 1, p. 37-48.en
dc.identifier.issn1213-6964 (on-line)
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.urihttp://hdl.handle.net/11025/35552
dc.format12 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectvyhlazovánícs
dc.subjectkritéria pro zastavenícs
dc.subjectnelineární anizotropní difúzecs
dc.subjectdetekce okrajecs
dc.titleAn automatic stopping criterion for nonlinear anisotropic diffusionen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedNonlinear anisotropic diffusion (NAD) filtering is a procedure based on nonlinear evolution PDEs which seeks to improve images qualitatively by removing noise while preserving details and even enhancing edges. However, well-known implementations are sensitive to parameters which are necessarily tuned to sharpen a narrow range of edge slopes; otherwise, edges are either blurred or staircased [Kee2002]. One important parameter is the iterations number, for that reason, in this paper a stopping criterion to halt the diffusion process is proposed. To meet this goal, two stopping criteria were compared. The first is the stopping criterion proposed by Joao et. al. [Joã2016], which is based on the Mean Squared Error (MSE). The second is our proposed method based on the CIRR contrast measure. To this end, a comparative analysis of five diffusion methods is performed. Four of them are nonlinear anisotropic diffusion methods and the fifth is the Perona-Malik method. According to the tests performed, the number of iterations required by the smoothing algorithms using the proposed stopping criterion is lower.en
dc.subject.translatedsmoothingen
dc.subject.translatedstopping criteriaen
dc.subject.translatednonlinear anisotropic diffusionen
dc.subject.translatededge detectionen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2019.27.1.5
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 27, Number 1 (2019)

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