计算机应用研究2012，Vol.29Issue(4)：1207-1210,4.DOI:10.3969/j.issn.1001-3695.2012.04.002
水平集在图像分割中的应用研究
Survey on application of level set in image segmentation
摘要
Abstract
The level set method effectively solve the problem of topology changes in curve evolution that the other algorithms can' t solve. The core of the method is to use the mathematical theory of level set to solve the minimal value of energy function, then get the target contour. In order to solve image processing problem of different fields,there have proposed various relevant solutions based on level set method, and a Jarge number of researchers will continue to improve and enhance the efficiency and effectiveness of the algorithms. This paper presented an overview of existing methods about level set used to partial image segmentation, mainly introduced the traditional level set method, level set method without reinitialization, continuous level set method, and recent related improving methods. And it briefly discussed the advantages and application of various methods. At last, it pointed out the further research direction of methods.关键词
图像分割/水平集/主动轮廓模型/C-V模型/罚函数/B-样条/2维拉格朗日基函数Key words
image segmentation/ level set/ active contour model/ C-V model/ penalty function/ B-spline/ two-dimension Lagrange basis function分类
信息技术与安全科学引用本文复制引用
王芳梅,范虹,王凤妮..水平集在图像分割中的应用研究[J].计算机应用研究,2012,29(4):1207-1210,4.基金项目
国家自然科学基金资助项目(60873119) （60873119）
