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» Discrete Mixture Models for Unsupervised Image Segmentation
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IBPRIA
2007
Springer
14 years 3 months ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
ICIP
2009
IEEE
14 years 8 months ago
A Markov Random Field Model for Extracting Near-Circular Shapes
We propose a binary Markov Random Field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We...
Tamas Blaskovics, Zoltan Kato, and Ian Jermyn
MICCAI
2006
Springer
14 years 10 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-...
MM
2010
ACM
158views Multimedia» more  MM 2010»
13 years 6 months ago
Image segmentation with patch-pair density priors
In this paper, we investigate how an unlabeled image corpus can facilitate the segmentation of any given image. A simple yet efficient multi-task joint sparse representation model...
Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Hai Jin
SIAMSC
2008
237views more  SIAMSC 2008»
13 years 8 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto