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INFORMATICALT
2006
150views more  INFORMATICALT 2006»
13 years 3 months ago
A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou
ICIP
2009
IEEE
14 years 4 months ago
Joint Recovery And Segmentation Of Polarimetric Images Using A Compound Mrf And Mixture Modeling
We propose a new approach for the restoration of polarimetric Stokes images, capable of simultaneously segmenting and restoring the images. In order to easily handle the admissibi...
ICIP
2005
IEEE
14 years 5 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
ACCV
2006
Springer
13 years 9 months ago
A Multi-Layer MRF Model for Video Object Segmentation
A novel video object segmentation method is proposed which aims at combining color and motion information. The model has a multilayer structure: Each feature has its own layer, cal...
Zoltan Kato, Ting-Chuen Pong
MICCAI
2006
Springer
14 years 4 months ago
Anatomical Modelling of the Musculoskeletal System from MRI
Abstract. This paper presents a novel approach for multi-organ (musculoskeletal system) automatic registration and segmentation from clinical MRI datasets, based on discrete deform...
Benjamin Gilles, Laurent Moccozet, Nadia Magnenat-...