ENHANCING VOLUMETRIC BOULIGAND-MINKOWSKI FRACTAL DESCRIPTORS BY USING FUNCTIONAL DATA ANALYSIS

Autor(es)

Florindo, Joao Batista ^[1] ; De Castro, Mario ^[2] ; Bruno, Odemir Martinez ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Fis Sao Carlos, Sao Paulo - Brazil

^[2] Univ Sao Paulo, Inst Ciencias Matemat & Comp, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF MODERN PHYSICS C; v. 22, n. 9, p. 929-952, SEP 2011.
• Citações Web of Science: 3

Resumo

This work proposes and studies the concept of Functional Data Analysis transform, applying it to the performance improving of volumetric Bouligand-Minkowski fractal descriptors. The proposed transform consists essentially in changing the descriptors originally defined in the space of the calculus of fractal dimension into the space of coefficients used in the functional data representation of these descriptors. The transformed descriptors are used here in texture classification problems. The enhancement provided by the FDA transform is measured by comparing the transformed to the original descriptors in terms of the correctness rate in the classification of well known datasets. (AU)

• Processo FAPESP: 11/01523-1 - Métodos de visão computacional aplicados à identificação e análise de plantas
• Beneficiário: Odemir Martinez Bruno
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 10/09074-9 - Modelos de sobrevivência com fração de cura com erros nas variáveis explicativas
• Beneficiário: Mario de Castro Andrade Filho
• Modalidade de apoio: Bolsas no Exterior - Pesquisa