Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/63145
Author(s): Roberta B. Oliveira
Carlos Roberto D. Caldas Júnior
Aledir S. Pereira
Rodrigo C. Guido
Alex F. de Araujo
João Manuel R. S.Tavares
Ricardo B. Rossetti
Title: Caracterização de textura em imagens de lesões de pele por máquina de vetor de suporte
Issue Date: 2012
Abstract: Due 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.
Subject: Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
Scientific areas: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
URI: https://repositorio-aberto.up.pt/handle/10216/63145
Source: CISTI 2012 - 7ª Conferência Ibérica de Sistemas e Tecnologias de Informação
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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