A framework for image segmentation using shape models and kernel space shape priors
Segmentation involves separating an object from the background in a given image. The use of image information alone often leads to poor segmentation results due to the presence of noise, clutter or occlusion. The introduction of shape priors in the geometric active contour (GAC) framework has proved...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 30(2008), 8 vom: 01. Aug., Seite 1385-99
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1. Verfasser: |
Dambreville, Samuel
(VerfasserIn) |
Weitere Verfasser: |
Rathi, Yogesh,
Tannenbaum, Allen |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2008
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |