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» Level-set methods for convex optimization
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91
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IPMI
2007
Springer
15 years 10 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
121
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Publication
592views
16 years 5 months ago
Coupling Graph Cuts and Level Sets
"This paper presents an efficient algorithm for solving one sort of region-based active contour models, i.e. the active contours without edges model. We develop the link betwe...
Xiang Zeng, Wei Chen, and Qunsheng Peng
142
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TITB
2002
172views more  TITB 2002»
14 years 9 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...
113
Voted
IJCV
1998
233views more  IJCV 1998»
14 years 9 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
76
Voted
JMIV
2006
161views more  JMIV 2006»
14 years 9 months ago
Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization
This paper deals with the total variation minimization problem in image restoration for convex data fidelityfunctionals.Weproposeanewandfastalgorithmwhichcomputesanexactsolutionint...
Jérôme Darbon, Marc Sigelle