Characterization of Texture in Image of Skin Lesions by Support Vector Machine

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Oliveira, RB (Autor) Outra; Caldas, CRD (Autor) Outra; Pereira, AS (Autor) Outra; Guido, RC (Autor) Outra; De Araujo, AF (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP; Rossetti, RB (Autor) Outra

Ata de Conferência Internacional

Título: INFORMATION SYSTEMS AND TECHNOLOGIES

7th Iberian Conference on Information Systems and Technologies (CISTI)

Madrid, SPAIN, JUN 20-23, 2012

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-008-79X

Abstract (EN): Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify texture in images, since it is an important feature for the successfully identification of skin lesions. For this is defined a feature vector, with the fractal dimension of images through the box-counting method (BCM), which is used with a SVM to classify the texture of the lesions in to non-irregular or irregular. With the proposed solution, we could obtain an accuracy of 72.84%.

Idioma: Português

Tipo (Avaliação Docente): Científica

Nº de páginas: 2