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» Level Set Methods for Watershed Image Segmentation
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IPMI
2007
Springer
14 years 8 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
CBMS
2007
IEEE
14 years 1 months ago
Region Based Segmentation and Classification of Multispectral Chromosome Images
Multiplex Fluorescent In Situ Hybridization (M-FISH) is a newly chromosome imaging technique where each chromosome class appears to have a distinct color. This technique although ...
Petros S. Karvelis, Dimitrios I. Fotiadis, Alexand...
CVPR
2006
IEEE
14 years 9 months ago
Segmentation by Level Sets and Symmetry
Shape symmetry is an important cue for image understanding. In the absence of more detailed prior shape information, segmentation can be significantly facilitated by symmetry. How...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
ISVC
2009
Springer
14 years 2 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
CVBIA
2005
Springer
14 years 1 months ago
Active Contours Under Topology Control Genus Preserving Level Sets
We present a novel framework to exert topology control over a level set evolution. Level set methods offer several advantages over parametric active contours, in particular automat...
Florent Ségonne, Jean-Philippe Pons, W. Eri...