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» A Bayesian approach for image segmentation with shape priors
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ICCV
2011
IEEE
12 years 7 months ago
A Convex Framework for Image Segmentation with Moment Constraints
Convex relaxation techniques have become a popular approach to image segmentation as they allow to compute solutions independent of initialization to a variety of image segmentati...
Maria Klodt, Daniel Cremers
ICIP
2006
IEEE
14 years 9 months ago
Region-Based Active Contour with Noise and Shape Priors
In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of exponential family as a prio...
Eric Saloux, François Lecellier, Gilles Aub...
ICIP
2001
IEEE
14 years 9 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
ISBI
2009
IEEE
14 years 2 months ago
A Data-Driven Approach to Prior Extraction for Segmentation of Left Ventricle in Cardiac MR Images
In this paper, we propose a data-driven approach that extracts prior information for segmentation of the left ventricle in cardiac MR images of transplanted rat hearts. In our app...
Xiao Jia, Chao Li, Ying Sun, Ashraf A. Kassim, Yij...
ICIP
2005
IEEE
14 years 9 months ago
Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K form prior
In this paper, a nonparametric Bayesian estimator in the wavelet domain using the Bessel K Form (BKF) distribution will be presented. Our first contribution is to show how the BKF...
Larbi Boubchir, Jalal Fadili