Determination of Critical Parameters of Some Models of Binary Gibbs Random Fields Based on Image Modeling

被引:0
|
作者
Zaitseva, Anna Yu [1 ]
Denisenko, Irina A. [2 ]
Vasyukov, Vasily N. [3 ,4 ]
机构
[1] Novosibirsk State Tech Univ, Fdn Informat Sci Program, Novosibirsk, Russia
[2] Novosibirsk State Tech Univ, Fac Radio Engn & Elect, Novosibirsk, Russia
[3] Novosibirsk State Tech Univ, Dept Sci Res, Novosibirsk, Russia
[4] Novosibirsk State Tech Univ, Dept Theoret Fundamentals Radio Engn, Novosibirsk, Russia
关键词
Gibbs random field; Gibbs probability distribution; phase transition; critical inverse temperature; Ising model;
D O I
10.1109/edm.2019.8823156
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Parameters of the texture images described by binary Gibbs random fields when phase transition occurs are investigated. Ising model and its generalizations are considered. The phenomenon of phase transition in a model of a binary field with vertical, horizontal and diagonal cliques is evaluated.
引用
收藏
页码:61 / 64
页数:4
相关论文
共 50 条
  • [1] Determination of Critical Parameters of Binary Gibbs Random Field Based on Image Modeling
    Vasyukov, Vasily N.
    Zaitseva, Anna Yu
    Denisenko, Irina A.
    2018 19TH INTERNATIONAL CONFERENCE OF YOUNG SPECIALISTS ON MICRO/NANOTECHNOLOGIES AND ELECTRON DEVICES (EDM 2018), 2018, : 114 - 117
  • [2] Modeling image textures by Gibbs random fields
    Gimel'farb, G
    PATTERN RECOGNITION LETTERS, 1999, 20 (11-13) : 1123 - 1132
  • [3] Texture image modeling and parameter estimation based on Gibbs random fields
    Suwa, M
    Sugimoto, S
    (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 1998, : 501 - 506
  • [4] Approach for image segmentation based on generalized fuzzy gibbs random fields
    Lin, Ya-Zhong
    Chen, Wu-Fan
    Yang, Feng
    Feng, Yan-Qiu
    Jisuanji Xuebao/Chinese Journal of Computers, 2003, 26 (11): : 1464 - 1469
  • [5] A new algorithm based on fuzzy Gibbs random fields for image segmentation
    Yan, G
    Chen, WF
    MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS, 2004, 3150 : 163 - 170
  • [6] Association tests for candidate genes based on Gibbs random fields models
    Nickolov, R. Z.
    Milanov, V. B.
    Zhang, S.
    GENETIC EPIDEMIOLOGY, 2007, 31 (05) : 491 - 491
  • [7] GIBBS RANDOM-FIELDS, COOCCURRENCES, AND TEXTURE MODELING
    ELFADEL, IM
    PICARD, RW
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1994, 16 (01) : 24 - 37
  • [8] Gibbs random field models for image content characterization
    Schroder, M
    Seidel, K
    Datcu, M
    IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV: REMOTE SENSING - A SCIENTIFIC VISION FOR SUSTAINABLE DEVELOPMENT, 1997, : 258 - 260
  • [9] An adaptive algorithm for image de-noising based on fuzzy Gibbs random fields
    Du Xinyu
    Li Yongjie
    Yao Dezhong
    2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING, 2006, : 467 - +
  • [10] Image processing based on Gibbs models
    Vasyukov, VN
    Goleshchikhin, DV
    KORUS 2003: 7TH KOREA-RUSSIA INTERNATIONAL SYMPOSIUM ON SCIENCE AND TECHNOLOGY, VOL 2, PROCEEDINGS: ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY, 2003, : 340 - 344