Reduced complexity rotation invariant texture classification using a blind deconvolution approach
In this paper, we present a texture classification procedure that makes use of a blind deconvolution approach. Specifically, the texture is modeled as the output of a linear system driven by a binary excitation. We show that features computed from one-dimensional slices extracted from the two-dimens...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 28(2006), 1 vom: 24. Jan., Seite 145-9 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2006
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Evaluation Study Journal Article |