Image Segmentation Based on Level Set Method

被引:33
|
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
相关论文
共 50 条
  • [31] The level set method for medical image segmentation with a new regularization
    Wei, Zheng
    Ye, Sun Chun
    Fang, Wang
    Min, Li
    THIRD INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2011), 2011, 8009
  • [32] A survey of level set method for image segmentation with intensity inhomogeneity
    Haiping Yu
    Fazhi He
    Yiteng Pan
    Multimedia Tools and Applications, 2020, 79 : 28525 - 28549
  • [33] A survey of level set method for image segmentation with intensity inhomogeneity
    Yu, Haiping
    He, Fazhi
    Pan, Yiteng
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (39-40) : 28525 - 28549
  • [34] A Novel Level Set Method for Inhomogeneous SAR Image Segmentation
    He, Wenjing
    Song, Hongjun
    Yao, Yuanyuan
    Jia, Xinlin
    Long, Yajun
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 18 (06) : 1044 - 1048
  • [35] An improved level set method for vertebra CT image segmentation
    Huang, Juying
    Jian, Fengzeng
    Wu, Hao
    Li, Haiyun
    BIOMEDICAL ENGINEERING ONLINE, 2013, 12
  • [36] An improved level set method for vertebra CT image segmentation
    Juying Huang
    Fengzeng Jian
    Hao Wu
    Haiyun Li
    BioMedical Engineering OnLine, 12
  • [37] A level set method based on local direction gradient for image segmentation with intensity inhomogeneity
    Yingran Ma
    Yanjun Peng
    Multimedia Tools and Applications, 2018, 77 : 30703 - 30727
  • [38] A reaction-diffusion based level set method for image segmentation in three dimensions
    Zhang, Zhe
    Xie, Yi Min
    Li, Qing
    Zhou, Shiwei
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 96
  • [39] A robust level set method based on local statistical information for noisy image segmentation
    Xie, Xiaomin
    Wang, Changming
    Zhang, Aijun
    Meng, Xiangfei
    OPTIK, 2014, 125 (09): : 2199 - 2204
  • [40] A level set method based on the Bayesian risk for medical image segmentation
    Chen, Yao-Tien
    PATTERN RECOGNITION, 2010, 43 (11) : 3699 - 3711