Caracterização de Textura em Imagens de Lesões de Pele por Máquina de Vetor de ...

• Autor(es): 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
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/10216/63145
• Origem: Repositório Aberto da Universidade do Porto
• Assunto(s): Ciências tecnológicas
• Tipo de Documento: Documento de conferência
• Idioma: Português

Descrição

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.