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PDE-based modeling of image segmentation using volumic flooding

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dc.contributor.author Sofou, A en
dc.contributor.author Maragos, P en
dc.date.accessioned 2014-03-01T02:42:19Z
dc.date.available 2014-03-01T02:42:19Z
dc.date.issued 2003 en
dc.identifier.uri http://hdl.handle.net/123456789/30937
dc.subject Curve Evolution en
dc.subject Fast Marching Method en
dc.subject Image Segmentation en
dc.subject Level Set en
dc.subject Watershed Segmentation en
dc.subject Watershed Transform en
dc.subject.other Algorithms en
dc.subject.other Approximation theory en
dc.subject.other Feature extraction en
dc.subject.other Mathematical transformations en
dc.subject.other Morphology en
dc.subject.other Partial differential equations en
dc.subject.other Problem solving en
dc.subject.other Automated segmentation en
dc.subject.other Image segmentation en
dc.title PDE-based modeling of image segmentation using volumic flooding en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.2003.1246709 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.2003.1246709 en
heal.publicationDate 2003 en
heal.abstract The classical case of morphological segmentation is based on the watershed transform, constructed by flooding the gradient image, which is seen as a topographic surface, with constant height speed Changing the flooding criteria, (e.g constant-speed height, area or volume) yields different segmentation results. In the field of PDEs and curve evolution the classic watershed transform can be modelled as the solution of an eikonal PDE. In this paper we model the watershed segmentation based on a volume flooding criterion via a different eikonal PDE. Then we solve this PDE using the fast marching method, which is a specific algorithm from the methodology of level sets. In addition, we attempt to exploit the advantages of image segmentation using PDE-based volume flooding over the classic height flooding. en
heal.journalName IEEE International Conference on Image Processing en
dc.identifier.doi 10.1109/ICIP.2003.1246709 en
dc.identifier.volume 2 en
dc.identifier.spage 431 en
dc.identifier.epage 434 en


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