A nonconservative flow field for robust variational image segmentation
We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a feature that helps in a better segmentation of objects with concavities. A multiscale version of this method is developed and is...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 19(2010), 2 vom: 04. Feb., Seite 478-90
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1. Verfasser: |
Ghosh, Pratim
(VerfasserIn) |
Weitere Verfasser: |
Bertelli, Luca,
Sumengen, Baris,
Manjunath, B S |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2010
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |