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» Shaping Level Sets with Submodular Functions
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WACV
2007
IEEE
14 years 1 months ago
Threshold-based 3D Tumor Segmentation using Level Set (TSL)
Three-dimensional segmentation is reliable approach to achieve a proper estimation of tumor volume. Among all possible methods for this purpose, level set can be used as a powerfu...
Sima Taheri, Sim Heng Ong, Vincent Chong
CVPR
2009
IEEE
15 years 2 months ago
Increased Discrimination in Level Set Methods with Embedded Conditional Random Fields
We propose a novel approach for improving level set seg- mentation methods by embedding the potential functions from a discriminatively trained conditional random field (CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
TIP
2010
277views more  TIP 2010»
13 years 2 months ago
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
VMV
2008
129views Visualization» more  VMV 2008»
13 years 8 months ago
Shape Median Based on Symmetric Area Differences
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
Benjamin Berkels, Gina Linkmann, Martin Rumpf
IJCV
1998
233views more  IJCV 1998»
13 years 7 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