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ICIP
2005
IEEE
14 years 9 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
ISBI
2004
IEEE
14 years 8 months ago
Cardiac MR Image Segmentation: Quality Assessment of STACS
We present an energy based automatic image segmentation algorithm that uses a novel active contour scheme, called the stochastic active contour scheme (STACS). The algorithm overc...
Charnchai Pluempitiwiriyawej, Chien Ho, José...
ICIAR
2009
Springer
14 years 2 months ago
Interactive Image Segmentation Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior
Abstract. A new algorithm for interactive image segmentation is proposed. Besides the traditional appearance and gradient information, a new Generic Shape Prior (GSP) knowledge whi...
Chen Liu, Fengxia Li, Yan Zhang, Haiyang Gu
PRL
2006
117views more  PRL 2006»
13 years 7 months ago
Improving image segmentation quality through effective region merging using a hierarchical social metaheuristic
This paper proposes a new evolutionary region merging method in order to efficiently improve segmentation quality results. Our approach starts from an oversegmented image, which is...
Abraham Duarte, Miguel Ángel Sánchez...
CVPR
1999
IEEE
14 years 9 months ago
Model-Guided Segmentation of Corpus Callosum in MR Images
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical ...
Arvid Lundervold, Torfinn Taxt, Nicolae Duta, Anil...