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

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

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

Conference proceedings International

Title: INFORMATION SYSTEMS AND TECHNOLOGIES

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

Madrid, SPAIN, JUN 20-23, 2012

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Other information

Authenticus ID: 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%.

Language: Portuguese

Type (Professor's evaluation): Scientific

No. of pages: 2