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» A Unified Tensor Level Set for Image Segmentation
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CVPR
2009
IEEE
15 years 1 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
MICCAI
2000
Springer
15 years 1 months ago
Robust 3D Segmentation of Anatomical Structures with Level Sets
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
C. Baillard, Christian Barillot
113
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IPMI
2005
Springer
15 years 10 months ago
Brain Segmentation with Competitive Level Sets and Fuzzy Control
We propose to segment 3D structures with competitive level sets driven by fuzzy control. To this end, several contours evolve simultaneously toward previously defined anatomical ta...
Cybèle Ciofolo, Christian Barillot
ICIP
2001
IEEE
15 years 11 months ago
A comparative evaluation of algorithms for fast computation of level set PDEs with applications to motion segmentation
We address the problem of fast computation of level set partial differential equations (PDEs) in the context of motion segmentation. Although several fast level set computation al...
Abdol-Reza Mansouri, Thierry Chomaud, Janusz Konra...
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
15 years 4 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...