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» Bayesian Image Segmentation Using Wavelet-Based Priors
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CVPR
2007
IEEE
16 years 3 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios
ICIP
2001
IEEE
16 years 3 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas
MICCAI
2002
Springer
16 years 2 months ago
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field ...
Kilian M. Pohl, William M. Wells III, Alexandre Gu...
IPAS
2008
15 years 3 months ago
Multivariate mathematical morphology and Bayesian classifier application to colour and medical images
Multivariate images are now commonly produced in many applications. If their process is possible due to computers power and new programming languages, theoretical difficulties hav...
Arnaud Garcia, Corinne Vachier, Jean-Paul Vall&eac...
TSP
2008
105views more  TSP 2008»
15 years 1 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...