An adaptive weighting parameter estimation between local and global intensity fitting energy for image segmentation

被引：7
|
作者：
Wang, Hui [1 ,2 ]
Huang, Ting-Zhu [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Math Sci, Inst Computat Sci, Chengdu 611731, Sichuan, Peoples R China
[2] Anshun Univ, Dept Math & Comp Sci, Anshun 561000, Guizhou, Peoples R China
来源：
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2014年 / 19卷 / 09期
关键词：
Image segmentation; Intensity inhomogeneity; Level set method; Chan-Vese model; LBF model; ACTIVE CONTOURS; EVOLUTION; MUMFORD;
D O I：
10.1016/j.cnsns.2014.02.015
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Local and global intensity fitting energy are widely used for image segmentation. In order to improve the segmentation quality in the presence of intensity inhomogeneity, in this paper, we propose a new adaptive rule for obtaining weighting parameter estimation between the local and global intensity fitting energy. Following the minimization of the energy functional, the value of the weighting parameter is dynamically updated with the contour evolution, which is effective and accurate for extracting the object. (C) 2014 Elsevier B. V. All rights reserved.
引用
收藏
页码：3098 / 3105
页数：8
相关论文
共 50 条
  • [1] Global minimization of adaptive local image fitting energy for image segmentation
    Liu, Guoqi
    Zhou, Zhiheng
    Xie, Shengli
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2014, 25 (02) : 307 - 313
  • [2] Bilateral Intensity Fitting Energy for Image Segmentation
    Wang, Yan
    He, Chuanjiang
    Li, Xiaolin
    Chen, Hao
    Li, Meng
    EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2018, 8 (02) : 296 - 312
  • [3] Adaptive active contour model driven by global and local intensity fitting energy for image segmentation
    Zhao, Like
    Zheng, Shunyi
    Wei, Haitao
    Gui, Li
    OPTIK, 2017, 140 : 908 - 920
  • [4] Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation
    Wang, Li
    Li, Chunming
    Sun, Quansen
    Xia, Deshen
    Kao, Chiu-Yen
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2009, 33 (07) : 520 - 531
  • [5] Global minimization of adaptive local image fitting energy for image segmentation
    Guoqi Liu
    Zhiheng Zhou
    Shengli Xie
    JournalofSystemsEngineeringandElectronics, 2014, 25 (02) : 307 - 313
  • [6] Active Contour Model Based on Local Intensity Fitting Energy for Image Segmentation and Bias Estimation
    Shan, Xiaoying
    Gong, Xiaoliang
    Nandi, Asoke K.
    IEEE ACCESS, 2018, 6 : 49817 - 49827
  • [7] A Note on Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy
    Yang, Yunyun
    Zhao, Yi
    Wu, Boying
    Wang, Hongpeng
    2014 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI 2014), 2014, : 149 - 152
  • [8] Local and Global Active Contour Model for Image Segmentation With intensity Inhomogeneity
    Cai, Qing
    Liu, Huiying
    Qian, Yiming
    Li, Jing
    Duan, Xiaojun
    Yang, Yee-Hong
    IEEE ACCESS, 2018, 6 : 54224 - 54240
  • [9] Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method
    Yang, Yunyun
    Wu, Boying
    JOURNAL OF APPLIED MATHEMATICS, 2012,
  • [10] Active contours driven by local likelihood image fitting energy for image segmentation
    Ji, Zexuan
    Xia, Yong
    Sun, Quansen
    Cao, Guo
    Chen, Qiang
    INFORMATION SCIENCES, 2015, 301 : 285 - 304
12345