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» Model-Based Curve Evolution Technique for Image Segmentation
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MICCAI
2008
Springer
15 years 1 days ago
Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI
Recent developments in MR data acquisition technology are starting to yield images that show anatomical features of the hippocampal formation at an unprecedented level of detail, p...
Koen Van Leemput, Akram Bakkour, Thomas Benner, ...

Publication
164views
12 years 10 months ago
A Statistical Overlap Prior for Variational Image Segmentation
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
Ismail Ben Ayed, Shuo Li and Ian Ross
ECCV
2004
Springer
15 years 23 days ago
Model Selection for Range Segmentation of Curved Objects
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
Alireza Bab-Hadiashar, Niloofar Gheissari
ICASSP
2010
IEEE
13 years 11 months ago
A shape-based framework to segmentation of tongue contours from MRI data
DIn this paper 1 , we propose a shape-based variational framework to curve evolution for the segmentation of tongue contours from MRI mid-sagittal images. In particular, we first...
Ting Peng, Erwan Kerrien, Marie-Odile Berger
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 5 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...