Unsupervised graph cuts via compound Markov random field model

被引:0
|
作者
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China [1 ]
机构
来源
Huazhong Ligong Daxue Xuebao | 2008年 / 12卷 / 58-61期
关键词
Image segmentation;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Compound Markov Random Field model of Signals on Graph: an application to Graph Learning
    Colonnese, Stefania
    Pagliari, Giulio
    Biagi, Mauro
    Cusani, Roberto
    Scarano, Gaetano
    PROCEEDINGS OF THE 2018 7TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP), 2018,
  • [2] An unsupervised classification method for polarimetric SAR images based on Inhomogeneous Markov Random Field and graph cuts
    Rong, Xing
    Yang, Jian
    Zhang, Weijie
    Hong, Wen
    Cao, Fang
    PIERS 2008 HANGZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, VOLS I AND II, PROCEEDINGS, 2008, : 1328 - +
  • [3] Exact optimization for a class of second order Markov Random Field via graph cuts
    Liao, ZJ
    Zhao, JY
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 5512 - 5516
  • [4] Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
    Panda, Sucheta
    Nanda, P. K.
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2009, 5909 : 291 - +
  • [5] A Markov Random Field and Adaptive Regularization Embedded Level Set Segmentation Model Solving by Graph Cuts
    Wang, Dengwei
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2019, 2019
  • [6] Unsupervised Segmentation of Industrial Images Using Markov Random Field Model
    Islam, Mofakharul
    Yearwood, John
    Vamplew, Peter
    TECHNOLOGICAL DEVELOPMENTS IN EDUCATION AND AUTOMATION, 2010, : 369 - 374
  • [7] Markerless human motion capture by Markov random field and dynamic graph cuts with color constraints
    LI JiaWAN ChengKaiZHANG DianYongMIAO ZhenJiang YUAN BaoZong Institute of Information ScienceBeijing Jiaotong UniversityBeijing China
    Science in China(Series F:Information Sciences), 2009, 52 (02) : 252 - 259
  • [8] Markerless human motion capture by Markov random field and dynamic graph cuts with color constraints
    Li Jia
    Wan ChengKai
    Zhang DianYong
    Miao ZhenJiang
    Yuan BaoZong
    SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2009, 52 (02): : 252 - 259
  • [9] Markerless human body motion capture using Markov random field and dynamic graph cuts
    Chengkai Wan
    Baozong Yuan
    Zhenjiang Miao
    The Visual Computer, 2008, 24 : 373 - 380
  • [10] Markerless human body motion capture using Markov random field and dynamic graph cuts
    Wan, Chengkai
    Yuan, Baozong
    Miao, Zhenjiang
    VISUAL COMPUTER, 2008, 24 (05): : 373 - 380