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» A New Bayesian Method for Range Image Segmentation
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CEC
2008
IEEE
14 years 3 months ago
A new meta-method for graph partitioning
— In this paper, a new meta-method based on the physical nuclear process is presented. This meta-method called Fusion-Fission is applied to the two different class of graph parti...
Charles-Edmond Bichot
ISBI
2007
IEEE
14 years 3 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ISBI
2008
IEEE
14 years 9 months ago
Bayesian non local means-based speckle filtering
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL) Means filter adapted for US...
Charles Kervrann, Christian Barillot, Pierre Helli...
PCM
2004
Springer
153views Multimedia» more  PCM 2004»
14 years 2 months ago
Segmentation of Interest Objects Using the Hierarchical Mesh Structure
The object boundary of an image plays an important role for image analysis and interpretation. The watershed algorithm and the region growing algorithm are popularly employed for i...
Dong-Keun Lim, Yo-Sung Ho
MICCAI
2005
Springer
14 years 10 months ago
Shape-Based Averaging for Combination of Multiple Segmentations
Combination of multiple segmentations has recently been introduced as an effective method to obtain segmentations that are more accurate than any of the individual input segmentati...
Torsten Rohlfing, Calvin R. Maurer Jr.