NDLI: Detection of Local Boundary Using a Variational Level Set Method With Application to Medical Image

Content Provider	IEEE Xplore Digital Library
Author	Luo, Zhong Hua Li, Wen Gang Wu, Ji Tao Xue, Bin Dang
Copyright Year	2008
Abstract	A variational model which is used to locate at the boundary of the object in the designated region is presented in this paper. This is done by adding an intersect area term into our model, which will play an important role in this paper. In this model, we need to construct an energy functional ε using two level set functions. One is used to capture the object of interest, the other one indicates image region which should be corrected. By minimizing the proposed model with respected to both two functions,the approach permits to segment the more accurate boundary. We implement our model with two algorithms, advantages and disadvantages of the two algorithms are discussed according to the experiment result. At the same time, we compare our model with a model proposed by Chunming Li et al. The result shows that our model is more accurate.
Starting Page	650
Ending Page	655
File Size	302297
Page Count	6
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.322
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Medical signal detection Shape Level set Variational methods Energy minimization Active contours Image segmentation Level set methods Signal processing algorithms Object detection Signal processing Biomedical imaging
Content Type	Text
Resource Type	Article

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