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» A Bayesian approach for image segmentation with shape priors
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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
ICANN
2010
Springer
13 years 9 months ago
Automatic Segmentation of Color Lip Images Based on Morphological Filter
This paper addresses the problem of lip segmentation in color space, which is a crucial issue to the success of a lip-reading system. We present a new segmentation approach to lip ...
Meng Li, Yiu-ming Cheung
ICCV
2007
IEEE
14 years 10 months ago
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
Reliable segmentation of the left ventricle is a long sought objective in medical imaging for automatic retrieval of anatomical and pathological measurements and detection of malf...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
CVPR
2008
IEEE
1094views Computer Vision» more  CVPR 2008»
14 years 10 months ago
Image super-resolution using gradient profile prior
In this paper, we propose an image super-resolution approach using a novel generic image prior ? gradient profile prior, which is a parametric prior describing the shape and the s...
Jian Sun, Zongben Xu, Heung-Yeung Shum
MICCAI
2008
Springer
14 years 10 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...