• DocumentCode
    345954
  • Title

    ICM method for multi-level thresholding using maximum entropy criterion

  • Author

    Luo, Xiping ; Tian, Jie

  • Author_Institution
    AILAB, Acad. Sinica, Beijing, China
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    108
  • Lastpage
    113
  • Abstract
    The maximum entropy approach is one of the most important threshold selection methods. Many authors avoid the computationally prohibitive problem when the maximum entropy criterion is applied to multi-level threshold selection. This paper deals with this problem using the iterated conditional modes (ICM) method. Experiments show ICM can get satisfactory if not optimal results using our initialization algorithm and solve the problem of computation excellently. Also in this paper, we have modified the fuzzy maximum entropy criterion of Cheng et al., (1998). In addition, we compared our ICM method with the simulated annealing algorithm proposed by them
  • Keywords
    fuzzy logic; image processing; iterative methods; maximum entropy methods; ICM method; fuzzy maximum entropy criterion; image processing; initialization algorithm; iterated conditional modes; maximum entropy criterion; multi-level thresholding; threshold selection; Annealing; Automation; Computational modeling; Convergence; Electrical capacitance tomography; Entropy; Histograms; Image processing; Search methods; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 1999. Proceedings. International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    0-7695-0040-4
  • Type

    conf

  • DOI
    10.1109/ICIAP.1999.797579
  • Filename
    797579