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

• 作者: Benshun YI Jinsheng XIAO Xiaoxiao QIU
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 地球科学
• 关键词: IMAGE SEGMENTATION LEVEL SET C-V Model VIDEO SEGMENTATION
• 年，卷（期）: 2009,（5）
• 页码范围: 453-458
• 页数: 6页
• 分类号: P3

摘要

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.