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has been cited by the following article:

• TITLE: Improved C-V Level Set Algorithm and its Application in Video Segmentation

  AUTHORS: Jinsheng XIAO, Benshun YI, Xiaoxiao QIU

  KEYWORDS: Image Segmentation, Level Set, C-V Model, Video Segmentation

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.2 No.5, August 21, 2009

  ABSTRACT: Image segmentation method based on level set model has wide potential application for its excellent seg-mentation result. However its complex computing restricts its application in video segmentation. In order to improve the speed of image segmentation, this paper presents a new level set initialization method based on Chan-Vese level set model. After a simple iterative, we can separate out the outline of objects. Experiments show that the method is simple and efficient, with good separation effects. The improved Chan-Vese method can be applied in video segmentation.