Texture classification using refined histogram

In this correspondence, we propose a novel, efficient, and effective Refined Histogram (RH) for modeling the wavelet subband detail coefficients and present a new image signature based on the RH model for supervised texture classification. Our RH makes use of a step function with exponentially incre...

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Détails bibliographiques
Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 19(2010), 5 vom: 15. Mai, Seite 1371-8
Auteur principal: Li, L (Auteur)
Autres auteurs: Tong, C S, Choy, S K
Format: Article en ligne
Langue:English
Publié: 2010
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Letter Research Support, Non-U.S. Gov't