Images as occlusions of textures : a framework for segmentation
We propose a new mathematical and algorithmic framework for unsupervised image segmentation, which is a critical step in a wide variety of image processing applications. We have found that most existing segmentation methods are not successful on histopathology images, which prompted us to investigat...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 5 vom: 07. Mai, Seite 2033-46
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| 1. Verfasser: |
McCann, Michael T
(VerfasserIn) |
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| Weitere Verfasser: |
Mixon, Dustin G,
Fickus, Matthew C,
Castro, Carlos A,
Ozolek, John A,
Kovacevic, Jelena |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2014
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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, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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