Fractal descriptors based on Fourier spectrum applied to texture analysis

Author(s)

Florindo, Joao Batista ^[1] ; Bruno, Odemir Martinez ^[1]

Affiliation

^[1] Univ Sao Paulo, IFSC, BR-13560970 Sao Carlos, SP - Brazil

• Document type: Journal article
• Source: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 391, n. 20, p. 4909-4922, OCT 15 2012.
• Web of Science Citations: 26

Abstract

This work proposes the development and study of a novel technique lot the generation of fractal descriptors used in texture analysis. The novel descriptors are obtained from a multiscale transform applied to the Fourier technique of fractal dimension calculus. The power spectrum of the Fourier transform of the image is plotted against the frequency in a log-log scale and a multiscale transform is applied to this curve. The obtained values are taken as the fractal descriptors of the image. The validation of the proposal is performed by the use of the descriptors for the classification of a dataset of texture images whose real classes are previously known. The classification precision is compared to other fractal descriptors known in the literature. The results confirm the efficiency of the proposed method. (C) 2012 Elsevier B.V. All rights reserved. (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