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ICIP
2008
IEEE
16 years 8 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
ICIP
2006
IEEE
16 years 8 months ago
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
Weihong Guo, Yunmei Chen
ICIP
2001
IEEE
16 years 8 months ago
A new filtering method for ultrasound images incorporating prior statistics concerning medical features
20 To 50 percent of the neonates with a very low birth weight (VLBW:< 1500 g) suffer from White Matter Damage (leukomalacia). Nowadays the diagnosis of WMD is still solely depe...
Gjenna Stippel, Ivana Duskunovic, Wilfried Philips...
ICPR
2004
IEEE
16 years 7 months ago
Surface Sculpting with Stochastic Deformable 3D Surfaces
This paper introduces a new stochastic surface model for deformable 3D surfaces and demonstrates its utility for the purpose of 3D sculpting. This is the problem of simple-touse a...
Andrew R. Willis, Jasper Speicher, David B. Cooper
180
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ICPR
2000
IEEE
16 years 7 months ago
Cooperation between Level Set Techniques and Dense 3D Registration for the Segmentation of Brain Structures
This paper presents a cooperative strategy between volumetric registration and segmentation. The segmentation method is based on the level set formalism. Starting from an initial ...
C. Baillard, Pierre Hellier, Christian Barillot