Image Segmentation Based on Level Set Method

被引：31
|
作者：
Jiang, Xin [1 ]
Zhang, Renjie [1 ]
Nie, Shengdong [1 ]
机构：
[1] Shanghai Univ Sci & Technol, Shanghai 201800, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012) | 2012年 / 33卷
关键词：
Image segmentation; Level set method; C-V Model; MODELS;
D O I：
10.1016/j.phpro.2012.05.143
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
Level set method can be effectively used to solve topology problems during the evolution of curves while the previous algorithms cannot deal with them. In recent years, there are many image segmentation algorithms based on level set method. For different applications of image processing, people have put forward the corresponding solutions, and a large number of researchers also continue to improve and enhance the efficiency and effectiveness of these algorithms. In this article, according to the development of the image segmentation methods based on level set, an overview is given for readers of different backgrounds in this field to use, and their characteristics are discussed. (C) 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of ICMPBE International Committee.
引用
收藏
页码：840 / 845
页数：6
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