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» An Adaptive Level Set Method for Medical Image Segmentation
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MVA
2007
175views Computer Vision» more  MVA 2007»
14 years 11 months ago
Noisy Image Segmentation Based on a Level Set Evolution
In this paper, we propose a new hybrid model for active contour image segmentation, which is able to segment non-uniform noisy images efficiently. The model is a combination betwe...
Khaled Issa, Hiroshi Nagahashi
CVRMED
1995
Springer
15 years 1 months ago
Medical Image Segmentation Using Topologically Adaptable Snakes
This paper presents a technique for the segmentation of anatomic structures in medical images using a topologically adaptable snakes model. The model is set in the framework of dom...
Tim McInerney, Demetri Terzopoulos
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 1 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
ISVC
2007
Springer
15 years 3 months ago
Lip Contour Segmentation Using Kernel Methods and Level Sets
This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise l...
A. Khan, William J. Christmas, Josef Kittler
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
14 years 13 days ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn