一种基于区域填充的C-V模型图像分割方法(英文)  

Image Segmentation Method of C-V Model Based on Region Painting

作　　者：张博[1] 苏永利[1] 张书玲[1] 

机构地区：[1]西北大学数学系,陕西西安710069

出　　处：《系统仿真学报》2008年第19期5228-5230,共3页Journal of System Simulation

基　　金：Foundation of Education of Shannxi Province (JK05303)

摘　　要：传统的C-V模型对于包含有多灰度级对象或子对象的图像难以实现准确分割。为解决这一问题,提出了一种基于区域填充的C-V模型图像分割方法,通过对象域或背景域的填充,将主对象转变为背景,从而弱对象或子对象成为主对象,再通过C-V模型实现分割。数值实验表明,该方法能够将弱对象有效分割,而且对于复杂对象的分割较 C-V模型更为准确。The traditional C-V model could not accurately segment an image including multi-gray level objects or sub-objects. In order to solve these problems, an image segmentation method based on C-V model and region painting was proposed. By object or background region painting, the main objects were changed to be part of background, so the weak object or sub-object became main object and could be detected by C-V model. Experiments show the proposed method can effectively segment the weak object that can not be detected originally, and is more accurate in segmentation of complicated object than C-V model.

关 键 词：图像分割 偏微分方程 C-V模型 区域填充 变分水平集 

分 类 号：V435[航空宇航科学与技术—航空宇航推进理论与工程]