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Texture analysis by fractal descriptors over the wavelet domain using a best basis decomposition

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  • Florindo, J.B.
  • Bruno, O.M.

Abstract

This work proposes the development and study of a novel set of fractal descriptors for texture analysis. These descriptors are obtained by exploring the fractal-like relation among the coefficients and magnitudes of a particular type of wavelet decomposition, to know, the best basis selection. The proposed method is tested in the classification of three sets of textures from the literature: Brodatz, Vistex and USPTex. The method is also applied to a challenging real-world problem, which is the identification of species of plants from the Brazilian flora. The results are compared with other classical and state-of-the-art texture descriptors and demonstrate the efficiency of the proposed technique in this task.

Suggested Citation

  • Florindo, J.B. & Bruno, O.M., 2016. "Texture analysis by fractal descriptors over the wavelet domain using a best basis decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 415-427.
    • Handle: RePEc:eee:phsmap:v:444:y:2016:i:c:p:415-427
    DOI: 10.1016/j.physa.2015.10.031
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    References listed on IDEAS

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    1. Florindo, João B. & Sikora, Mariana S. & Pereira, Ernesto C. & Bruno, Odemir M., 2013. "Characterization of nanostructured material images using fractal descriptors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1694-1701.
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