Variational segmentation of image sequences using region-based active contours and deformable shape priors
Variational segmentation of image sequences using region-based active contours and deformable shape priors
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DOI：
10.1007/s11263-008-0160-6
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发表时间：
2008-12-01
影响因子：
19.5
通讯作者：
Heyden, Anders
中科院分区：
文献类型：
--
作者：
Fundana, Ketut;Overgaard, Niels C.;Heyden, Anders
In this paper we address the problem of segmentation in image sequences using region-based active contours and level set methods. We propose a novel method for variational segmentation of image sequences containing nonrigid, moving objects. The method is based on the classical Chan-Vese model augmented with a novel frame-to-frame interaction term, which allow us to update the segmentation result from one image frame to the next using the previous segmentation result as a shape prior. The interaction term is constructed to be pose-invariant and to allow moderate deformations in shape. It is expected to handle the appearance of occlusions which otherwise can make segmentation fail. The performance of the model is illustrated with experiments on synthetic and real image sequences.
