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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014Vol.4(4): 336-341 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.396

Texture Analysis Using Multifractal Spectrum

Khaled Harrar and Mohamed Khider
Abstract—Multifractal analysis has been recognized as a powerful tool in characterizing textures. Several studies have shown the possibilities offered by multifractal analysis in image processing, in particular in classification of complex textures. Indeed, in most cases, the mode of multifractal spectrum is used for classification; in this study, we propose two different methods to estimate this spectrum. This paper focuses on the classification of Brodatz textures using multifractal analysis. Two methods are considered: The first method is based on the multifractal formalism of Frish and Parisi through the Legendre transform, the second one is a direct method based on the box-counting algorithm. For both approaches, we used the multiresolution coefficients of the wavelet transform, with the Gaussian first order derivative to find singularity exponents in the direct method, and the leaders coefficients for the multifractal formalism. The Legendre transform was used to estimate the multifractal spectrum, while the box-counting method was used to compute the Hausdorff dimension of sets of the same degree of singularity. Results demonstrate that it is more interesting in some cases to use the box-counting method than the Legendre transform to obtain a more accurate spectrum, as in the bimodal spectrum case.

Index Terms—Box-counting method, multifractal formalism, multifractal spectrum, texture classification.

Khaled Harrar is with the Engineering Faculty, University of M'Hamed Bougara Boumerdes, Avenue de l'indépendance, 35000, Boumerdes, Algeria (e-mail: harrar_k@umbb.dz)
Mohamed Khider is with the LTIR laboratory, Electrical engineering faculty, University of Science and Technology Houari Boumediene, BP 32, Bab Ezzouar, Algeria (e-mail: mohamed.khider@ieee.org)

[PDF]

Cite: Khaled Harrar and Mohamed Khider, "Texture Analysis Using Multifractal Spectrum," International Journal of Modeling and Optimization vol. 4, no. 4, pp. 336-341, 2014.

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