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dc.contributor.authorBarcelos, CAZ-
dc.contributor.authorBoaventura, M.-
dc.contributor.authorSilva, E. C.-
dc.date.accessioned2014-05-20T15:29:42Z-
dc.date.accessioned2016-10-25T18:04:57Z-
dc.date.available2014-05-20T15:29:42Z-
dc.date.available2016-10-25T18:04:57Z-
dc.date.issued2003-07-01-
dc.identifierhttp://dx.doi.org/10.1109/TIP.2003.814242-
dc.identifier.citationIEEE Transactions on Image Processing. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 12, n. 7, p. 751-763, 2003.-
dc.identifier.issn1057-7149-
dc.identifier.urihttp://hdl.handle.net/11449/39215-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/39215-
dc.description.abstractIn this paper, an anisotropic nonlinear diffusion equation for image restoration is presented. The model has two terms: the diffusion and the forcing term. The balance between these terms is made in a selective way, in which boundary points and interior points of the objects that make up the image are treated differently. The optimal smoothing time concept, which allows for finding the ideal stop time for the evolution of the partial differential equation is also proposed. Numerical results show the proposed model's high performance.en
dc.format.extent751-763-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)-
dc.sourceWeb of Science-
dc.subjectdiffusion equationpt
dc.subjectedge detectionpt
dc.subjectImage processingpt
dc.subjectnoise removalpt
dc.titleA well-balanced flow equation for noise removal and edge detectionen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniversidade Federal de Uberlândia (UFU), FACOM Fed, BR-38400 Uberlandia, MG, Brazil-
dc.description.affiliationUNESP, DCCE, IBILCE, Sao Jose do Rio Preto, SP, Brazil-
dc.description.affiliationUnespUNESP, DCCE, IBILCE, Sao Jose do Rio Preto, SP, Brazil-
dc.identifier.doi10.1109/TIP.2003.814242-
dc.identifier.wosWOS:000184206100003-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofIEEE Transactions on Image Processing-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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