Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/117271
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dc.titleSegmentation of semi-transparent objects using a variant of the Mumford-Shah model
dc.contributor.authorLaw, Y.N.
dc.contributor.authorLee, H.K.
dc.contributor.authorLiu, C.
dc.contributor.authorYip, A.M.
dc.date.accessioned2014-12-12T08:03:39Z
dc.date.available2014-12-12T08:03:39Z
dc.date.issued2009
dc.identifier.citationLaw, Y.N.,Lee, H.K.,Liu, C.,Yip, A.M. (2009). Segmentation of semi-transparent objects using a variant of the Mumford-Shah model. Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 2 : 568-574. ScholarBank@NUS Repository.
dc.identifier.isbn9781601321190
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/117271
dc.description.abstractWe propose a variant of the Mumford-Shah model for the segmentation of overlapping semi-transparent objects with additive intensity value. Unlike standard segmentation models, it does not only determine distinct objects in the image, but also recover possibly multiple membership of the pixels. To accomplish this, some a priori knowledge about the smoothness of the objects is taken into account in the model. To solve the optimization problem involving geometric quantities efficiently, we apply a multi-phase level set method. Segmentation results on synthetic and real images validate the good performance of our model.
dc.sourceScopus
dc.subjectAdditive model
dc.subjectEuler's elastica
dc.subjectImage segmentation
dc.subjectLevel set methods
dc.subjectMumford-Shah segmentation model
dc.subjectOverlapping semi-transparent objects
dc.typeConference Paper
dc.contributor.departmentMATHEMATICS
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.sourcetitleProceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009
dc.description.volume2
dc.description.page568-574
dc.identifier.isiutNOT_IN_WOS
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