A MULTILEVEL GMRF-BASED APPROACH TO IMAGE SEGMENTATION AND RESTORATION

被引：11
作者：
REGAZZONI, CS
ARDUINI, F
VERNAZZA, G
机构：
[1] Department of Biophysical and Electronic Engineering (DIBE), University of Genova, I-16145 Genova, Via All'Opera Pia
来源：
SIGNAL PROCESSING | 1993年 / 34卷 / 01期
关键词：
SEGMENTATION; RESTORATION; GIBBS-MARKOV RANDOM FIELDS; BAYESIAN NETWORKS;
D O I：
10.1016/0165-1684(93)90026-7
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：
In this paper, the Gibbs-Markov approach is extended to integration of observations provided by virtual sensors and organized according to a hierarchical taxonomy. The proposed extension is applied to image restoration and segmentation. A model of coupled Gibbs-Markov random fields (GMRFs) is presented, which involves performing restoration and labeling at two abstraction levels. i.e., the image (pixel) level and the region level. The maximum a posteriori (MAP) approach usually applied as an estimation criterion for single-level GMRFs is shown to be a special case of the most probable explanation (MPE) criterion, which is valid for multilevel GMRFs. A stochastic distributed optimization algorithm is used to reach the solution.
引用
收藏
页码：43 / 67
页数：25
相关论文
共 50 条
  • [31] A Selective Markovianity Approach for Image Segmentation
    Melouah, A.
    Merouani, H.
    [J]. PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 6, 2005, : 202 - 204
  • [32] A clustering fuzzy approach for image segmentation
    Cinque, L
    Foresti, G
    Lombardi, L
    [J]. PATTERN RECOGNITION, 2004, 37 (09) : 1797 - 1807
  • [33] Multilevel threshold selection for image segmentation using soft computing techniques
    Mala, C.
    Sridevi, M.
    [J]. SOFT COMPUTING, 2016, 20 (05) : 1793 - 1810
  • [34] Multilevel threshold selection for image segmentation using soft computing techniques
    C. Mala
    M. Sridevi
    [J]. Soft Computing, 2016, 20 : 1793 - 1810
  • [35] A COMBINED HYPERSPECTRAL IMAGE RESTORATION AND FUSION APPROACH
    Zhang, Yifan
    Duijster, Arno
    Scheunders, Paul
    [J]. 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2297 - 2300
  • [36] A SPATIAL AND SPECTRAL COMBINED IMAGE RESTORATION APPROACH
    Zhang, Yifan
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3509 - 3512
  • [37] Segmentation based image scanning
    Pracko, Richard
    Polec, Jaroslav
    Hasenohrlova, Katarina
    [J]. RADIOENGINEERING, 2007, 16 (02) : 71 - 76
  • [38] Segmentation based image retrieval
    Siebert, A
    [J]. STORAGE AND RETRIEVAL FOR IMAGE AND VIDEO DATABASES VI, 1997, 3312 : 14 - 24
  • [39] A bond percolation-based model for image segmentation
    Hussain, I
    Reed, TR
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (12) : 1698 - 1704
  • [40] An Approach to Content Based Retinal Image Retrieval Using Papamarkos Multilevel Thresholding Method
    Sivakamasundari, J.
    Kavitha, G.
    Natarajan, V.
    Ramakrishnan, S.
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (03) : 527 - 532
12345