Title:
A variational framework combining level-sets and thresholding
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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