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Fourier Fractal Descriptors for Colored Texture Analysis

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6915))

Abstract

This work proposes the use of a texture descriptor based on the Fourier fractal dimension applied to the analysis of colored textures. The technique consists in the transform of the color space of the texture through a colorimetry approach followed by the extraction of fractal descriptors from each transformed color channell. The fractal descriptors are obtained from the Fourier fractal dimension of the texture. The descriptors are finally concatenated, composing the complete descriptors. The performance of the proposed technique is compared to the classical chromaticity moment and the state-of-the-art multispectral Gabor filters in the classification of samples from the VisTex dataset.

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Author information

Authors and Affiliations

  1. Instituto de Física de São Carlos (IFSC), Universidade de São Paulo (USP), Avenida do Trabalhador São-carlense, 400, 13560-970, São Carlos, SP, Brazil

    João B. Florindo & Odemir M. Bruno

Authors
  1. João B. Florindo
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  2. Odemir M. Bruno
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Editor information

Editors and Affiliations

  1. DGA, 7-9 rue des mathurins, 92 221, Bagneux, France

    Jacques Blanc-Talon

  2. VITO-TAP, Boeretang 200, 2400, MOl, Belgium

    Richard Kleihorst

  3. Ghent University, St. -Pietersnieuwstraat 41, B9000, Ghent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, Epping,, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  5. Physics, University of Antwerp, Universiteitsplein 1; Building N, 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2011 Springer-Verlag Berlin Heidelberg

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Florindo, J.B., Bruno, O.M. (2011). Fourier Fractal Descriptors for Colored Texture Analysis. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2011. Lecture Notes in Computer Science, vol 6915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23687-7_26

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  • DOI: https://doi.org/10.1007/978-3-642-23687-7_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23686-0

  • Online ISBN: 978-3-642-23687-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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