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» Discrete Mixture Models for Unsupervised Image Segmentation
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PAMI
2007
159views more  PAMI 2007»
13 years 7 months ago
Soft Color Segmentation and Its Applications
—We propose an automatic approach to soft color segmentation, which produces soft color segments with an appropriate amount of overlapping and transparency essential to synthesiz...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 5 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
ISMDA
2004
Springer
14 years 1 months ago
A New Approach to Automatic Segmentation of Bone in Medical Magnetic Resonance Imaging
This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a ...
Gabriela Pérez, Raquel Montes Diez, Juan An...
ICCV
2009
IEEE
15 years 20 days ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
ICCV
2007
IEEE
14 years 9 months ago
Non-Parametric Probabilistic Image Segmentation
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona