Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets

We propose a texture learning approach that exploits local organizations of scales and directions. First, linear combinations of Riesz wavelets are learned using kernel support vector machines. The resulting texture signatures are modeling optimal class-wise discriminatory properties. The visualizat...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 2 vom: 07. Feb., Seite 898-908
Auteur principal:	Depeursinge, Adrien (Auteur)
Autres auteurs:	Foncubierta-Rodriguez, Antonio, Van de Ville, Dimitri, Muller, Henning
Format:	Article en ligne
Langue:	English
Publié:	2014
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article Research Support, Non-U.S. Gov't