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Estimation of the Large Multifractal Deviation Spectrum

Abstract : This paper deals with texture classification using a multifractal approach. More precisely we analyse the singularity/regularity exponent that compose the textures because they theoretically carry most of the information. The analysis is made using the Legendre spectrum. Then a parameter vector is computed to describe this spectrum in order to classify the textures with an unsupervised k-means classifier. The resulting algorithm is evaluated against a classification directly based on the textures.
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Contributor : Enguerran Grandchamp <>
Submitted on : Sunday, October 23, 2011 - 2:05:07 AM
Last modification on : Wednesday, September 5, 2018 - 1:30:05 PM


  • HAL Id : hal-00634750, version 1



Enguerran Grandchamp, Mohamed Abadi. Estimation of the Large Multifractal Deviation Spectrum. CAS, Nov 2006, GOSIER, France. pp.00. ⟨hal-00634750⟩



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