Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/63145
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dc.creatorRoberta B. Oliveira
dc.creatorCarlos Roberto D. Caldas Júnior
dc.creatorAledir S. Pereira
dc.creatorRodrigo C. Guido
dc.creatorAlex F. de Araujo
dc.creatorJoão Manuel R. S.Tavares
dc.creatorRicardo B. Rossetti
dc.date.accessioned2019-02-02T13:17:59Z-
dc.date.available2019-02-02T13:17:59Z-
dc.date.issued2012
dc.identifier.othersigarra:63455
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/63145-
dc.description.abstractDue to the increased incidence of skin cancer, computational methods using intelligent systems have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify the texture, considering that it is an important feature in identification of lesions. For this is defined a feature vector with the fractal dimension of images through the box-counting method (BCM), which were used by SVM to classify the texture of the lesions in non-irregular or irregular, where it obtained 72.84% of accuracy.
dc.language.isopor
dc.relation.ispartofCISTI 2012 - 7ª Conferência Ibérica de Sistemas e Tecnologias de Informação
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências Tecnológicas, Outras ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Other engineering and technologies
dc.titleCaracterização de textura em imagens de lesões de pele por máquina de vetor de suporte
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
dc.subject.fosEngineering and technology::Other engineering and technologies
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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