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

• 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
• Date: 2012
• Persistent ID: http://hdl.handle.net/10216/63145
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências tecnológicas
• Document Type: Conference Object
• Language: Portuguese

Description

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.