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Legendre Spectrum for texture classification

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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Conference papers
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Contributor : Enguerran Grandchamp <>
Submitted on : Tuesday, June 21, 2011 - 10:08:15 PM
Last modification on : Wednesday, September 5, 2018 - 1:30:05 PM


  • HAL Id : hal-00602270, version 1



Enguerran Grandchamp, Abadi Mohamed. Legendre Spectrum for texture classification. ICSP, Nov 2006, Beijing, China. pp.1. ⟨hal-00602270⟩



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