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» A Toolbox of Level Set Methods
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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
JSCIC
2008
79views more  JSCIC 2008»
14 years 9 months ago
A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth
Abstract In this paper, we present a ghost cell/level set method for the evolution of interfaces whose normal velocity depend upon the solutions of linear and nonlinear quasi-stead...
Paul Macklin, John Lowengrub
ICIP
2007
IEEE
15 years 4 months ago
Radial Basis Functions Collocation Methods for Model Based Level-Set Segmentation
We consider a recent parametric level-set segmentation approach where the implicit interface is the zero level of a continuous function expanded onto compactly supported radial ba...
Amaud Gelas, Joël Schaerer, Olivier Bernard, ...
JMIV
2007
116views more  JMIV 2007»
14 years 9 months ago
Viscosity Solutions of a Level-Set Method for Anisotropic Geometric Diffusion in Image Processing
We discuss the existence of viscosity solutions for a class of anisotropic level-set methods which can be seen as an extension of the mean-curvature motion with a nonlinear anisot...
Tobias Preusser
SCALESPACE
1999
Springer
15 years 2 months ago
Region Tracking on Surfaces Deforming via Level-Sets Methods
Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In...
Marcelo Bertalmío, Guillermo Sapiro, Gregor...