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...
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 |
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Auteur principal: | |
Autres auteurs: | , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2010
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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 |
Accès en ligne |
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