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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Florindo, Joao Batista [1] ; De Castro, Mario [2] ; Bruno, Odemir Martinez [1]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Inst Fis Sao Carlos, Sao Paulo - Brazil
[2] Univ Sao Paulo, Inst Ciencias Matemat & Comp, Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF MODERN PHYSICS C; v. 22, n. 9, p. 929-952, SEP 2011.
Web of Science Citations: 3
Abstract

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)

FAPESP's process: 11/01523-1 - Computer vision methods applied to the identification and analysis of plants
Grantee:Odemir Martinez Bruno
Support Opportunities: Regular Research Grants
FAPESP's process: 10/09074-9 - Long-term survival models with measurement errors
Grantee:Mario de Castro Andrade Filho
Support Opportunities: Scholarships abroad - Research