Supervised ordering in IRp : application to morphological processing of hyperspectral images
A novel approach for vector ordering is introduced in this paper. The generic framework is based on a supervised learning formulation which leads to reduced orderings. A training set for the background and another training set for the foreground are needed as well as a supervised method to construct...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 20(2011), 11 vom: 26. Nov., Seite 3301-8 |
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| Format: | Article en ligne |
| Langue: | English |
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2011
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Letter |
| Accès en ligne |
Volltext |