Fractal descriptors based on Fourier spectrum applied to texture analysis

João Batista Florindo and Odemir Martinez Bruno

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 20, 4909-4922

Abstract: This work proposes the development and study of a novel technique for 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.

Keywords: Fractal descriptors; Fractal dimension; Fractal multiscale; Fourier spectrum (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:391:y:2012:i:20:p:4909-4922

DOI: 10.1016/j.physa.2012.03.039

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