Work

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

Year: 2012

Type: book

Abstract: 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.

Source: Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)

Authors: Roberta B. Oliveira, Carlos Roberto D. Caldas Júnior, Aledir Silveira Pereira, Rodrigo Capobianco Guido, Alex F. de Araújo, João Manuel R. S. Tavares, Ricardo B. Rossetti

Language: Portuguese

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: W2280498420

FWCI:

Cites: 7

Cited by:

Related to: 10