Title:
A variational framework combining level-sets and thresholding

dc.contributor.author Dambreville, Samuel en_US
dc.contributor.author Niethammer, Marc en_US
dc.contributor.author Yezzi, Anthony en_US
dc.contributor.author Tannenbaum, Allen R. en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.date.accessioned 2009-08-12T15:10:55Z
dc.date.available 2009-08-12T15:10:55Z
dc.date.issued 2007-09
dc.description Presented at British Machine Vision Conference 2007, University of Warwick, UK, September 10-13, 2007. en_US
dc.description.abstract Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task within the level-sets framework. We propose an energy functional that naturally combines two segmentation techniques usually applied separately: intensity thresholding and geometric active contours. Although our method can deal with more complex statistics, we assume that the pixel intensities of the regions have Gaussian distributions, in this work. The proposed approach affords interesting properties that can lead to sensible segmentation results. en_US
dc.identifier.citation Samuel Dambreville, Marc Niethammer, Anthony Yezzi and Allen Tannenbaum, "A variational framework combining level-sets and thresholding," British Machine Vision Conference, 2007. en_US
dc.identifier.uri http://hdl.handle.net/1853/29507
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original British Machine Vision Association en_US
dc.subject Image segmentation en_US
dc.subject Thresholding en_US
dc.subject Geometric active contours en_US
dc.subject Level sets en_US
dc.title A variational framework combining level-sets and thresholding en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Yezzi, Anthony
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
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