Research ArticleOpen AccessGoogle Scholar indexed
Improved C-V Level Set Algorithm and its Application in Video Segmentation
School of Electronic Information, Wuhan University, Wuhan, China
School of Electronic Information, Wuhan University, Wuhan, China
School of Electronic Information, Wuhan University, Wuhan, China
- 1 School of Electronic Information, Wuhan University, Wuhan, China
- 2 School of Electronic Information, Wuhan University, Wuhan, China
- 3 School of Electronic Information, Wuhan University, Wuhan, China
International Journal of Communications, Network and System Sciences·Volume 02 (2009)·Pages 453–458·Published 21 August 2009·DOI10.4236/ijcns.2009.25049
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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.
KeywordsImage SegmentationLevel SetC-V ModelVideo Segmentation
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