Nonparametric Joint Shape and Feature Priors for Image Segmentation
In many image segmentation problems involving limited and low-quality data, employing statistical prior information about the shapes of the objects to be segmented can significantly improve the segmentation result. However, defining probability densities in the space of shapes is an open and challen...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 11 vom: 20. Nov., Seite 5312-5323
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| 1. Verfasser: |
Erdil, Ertunc
(VerfasserIn) |
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| Weitere Verfasser: |
Ghani, Muhammad Usman,
Rada, Lavdie,
Ozgur Argunsah, Ali,
Unay, Devrim,
Tasdizen, Tolga,
Cetin, Mujdat |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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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 |
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