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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://hdl.handle.net/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 |
This item is licensed under a Creative Commons License
