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Communication Dans Un Congrès Année : 2006

Legendre Spectrum for texture classification

Résumé

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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Dates et versions

hal-00602270 , version 1 (21-06-2011)

Identifiants

  • HAL Id : hal-00602270 , version 1

Citer

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