Actas de congresos
Characterization of texture in image of skin lesions by support vector machine
Fecha
2012-11-19Registro en:
Iberian Conference on Information Systems and Technologies, CISTI. Information Systems and Technologies. New York: IEEE, p. 2, 2012.
2166-0727
2166-0735
WOS:000319285900159
2-s2.0-84869038704
6542086226808067
0000-0002-0924-8024
Autor
Universidade Estadual Paulista (Unesp)
Universidade Do Porto
Institución
Resumen
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%. © 2012 AISTI.