Self-validated labeling of Markov random fields for image segmentation
This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph cuts (GGC), a new technique that extends the binary s-t graph cut for self-validated labeling. Specifically, we use the spli...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 32(2010), 10 vom: 01. Okt., Seite 1871-87 |
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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 pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |
| Accès en ligne |
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