Work

Characterization of texture in image of skin lesions by support vector machine

Year: 2012

Type: article

Abstract: 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.

Source: Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista)

Authors: Oliveira, Roberta B., Caldas Jr., Carlos Roberto D., Pereira, Aledir S., Guido, Rodrigo C., Araujo, Alex F. de, Tavares, João Manuel R. S., Rossetti, Ricardo B.

Institutions: Instituto de Biociências, Letras e Ciências Exatas, câmpus de São José do Rio Preto, Universidade Estadual Paulista (Unesp), Universidade do Porto, Institute of Mechanical Engineering and Industrial Mangement

Language: English

Topic: Image Retrieval and Classification Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1584833199

FWCI:

Cites: 6

Cited by:

Related to: 10