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» A Fast Optimization Method for Level Set Segmentation
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132
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ISBI
2009
IEEE
15 years 9 months ago
A New Interactive Method for Coronary Arteries Segmentation Based on Tubular Anisotropy
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images. The ...
Fethallah Benmansour, Laurent D. Cohen
IJCV
1998
233views more  IJCV 1998»
15 years 2 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
116
Voted
NIPS
2008
15 years 4 months ago
An Extended Level Method for Efficient Multiple Kernel Learning
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu
191
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Improved Snake Model for Fast Image Segmentation
—This paper presents an Improved Snake Model (ISM) effective for performing fast image segmentation. The work takes advantage of two well-known snake models of Balloon [1] and GG...
Chi-Cheng Ting, Jhan-Syuan Yu, Jiun-Shuen Tzeng, J...
IJCV
2006
205views more  IJCV 2006»
15 years 2 months ago
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
We propose a variational framework for the integration of multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional wi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...