Legendre Spectrum for texture classification
Mohamed Abadi, Enguerran Grandchamp · 2006
This paper deals with texture classification using a multifractal approach. More precisely we analyse the singularity/regularity exponent that composes the textures as 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