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非重复初始化水平集方法的图像轮廓检测
引用本文:臧顺全,王竹霞.非重复初始化水平集方法的图像轮廓检测[J].数字社区&智能家居,2008,3(11):944-946.
作者姓名:臧顺全  王竹霞
作者单位:[1]西安电子科技大学理学院,陕西西安710071 [2]西安邮电学院应用数理系,陕西西安710061 [3]西安邮电学院通信工程系,陕西西安710061
摘    要:水平集方法(Level Set Method)是一种用于计算曲线演化位置的有效方法。该文针对传统Level Set Method进行图像检测中需要重复初始化水平集函数的缺点,研究了不需要重复设置水平集函数的图像检测方法,实验表明,该方法能更好的检测多目标图像轮廓。

关 键 词:水平集方法  非重复初始化  轮廓检测

Image Contour Detecting without Re-initialization Level Set Method
Affiliation:ZANG Shun-quan, WANG Zhu-xia (1.School of Science, Xidian University, Xi'an 710071; China; 2.Department of applied mathematics and physics, Xi'an Institute of Post and Telecommunications, Xi'an 710061, China; 3.Department of Telecommunication Engineening,Xi'an Institute of Post and Telecommunications, Xi'an 710061,China)
Abstract:Level set method is numerical techniques for computing the position of propagating fronts. Image contour detecting by traditional level set methods Needs to re-initializing the level set" function.Then, Without Re-initialization Level Set Method is discussed is proposed.The experimental results show that it can accurate converge to contour of Multi-objectives image.
Keywords:Level Set Method  Without Re-initialization  Contour Detecting
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