NDLI: An advanced variational level set evolution for image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Ni Aijuan Wei Gaofeng Tian Feng Qin Xiaoli Yang Jian Sun Qiuming Xie Xinwu
Copyright Year	2012
Description	Author affiliation: Institue of Medical Equipment, Academy of Military Medical Sciences, AMMS, Tianjin 300161, China (Ni Aijuan; Wei Gaofeng; Tian Feng; Qin Xiaoli; Yang Jian; Sun Qiuming; Xie Xinwu)
Abstract	In this paper, we present an advanced variational formulation based on distance regularized level set evolution(DRLSE)that forces the level set function to be close to a signed distance function, and therefore not only completely eliminates the need of the costly re-initialization procedure, but also allows more efficient numerical scheme than DRLSE and traditional level set methods. Our provided potential function for the regularization term of the internal energy term is improved on the forward and backward diffusion. The advanced distance regularized level set evolution(ADRLSE) avoids the undesirable side effect and the distortedness of the zero level contour and provides more efficient numerical schemes and more smoothed contour. The proposed algorithm has been applied to both simulated and real images with promising results. In particular, it appears to perform more efficient numeration more smoothed contour.
Starting Page	732
Ending Page	736
File Size	692270
Page Count	5
File Format	PDF
ISBN	9781467321099
e-ISBN	9781467321082
DOI	10.1109/ITiME.2012.6291407
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image segmentation re-initialization level set method Biomedical imaging distance regularization
Content Type	Text
Resource Type	Article

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