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» A Fast Optimization Method for Level Set Segmentation
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IPMI
2007
Springer
16 years 5 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
IBPRIA
2007
Springer
15 years 10 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
ISVC
2010
Springer
15 years 2 months ago
Robust Rigid Shape Registration Method Using a Level Set Formulation
Abstract. This paper presents a fast algorithm for robust registration of shapes implicitly represented by signed distance functions(SDF). The proposed algorithm aims to recover th...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...
ICPR
2006
IEEE
16 years 5 months ago
Smoothing with Active Surfaces: A Multiphase Level Set Approach
In this paper, we propose to use an active contour method to attract active surfaces towards non-smoothed segmentation masks. To achieve this task, we introduce a new region-based...
Cedric De Roover, Jacek Czyz, Benoit M. Macq
APIN
2007
172views more  APIN 2007»
15 years 4 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...