• DocumentCode
    1742314
  • Title

    Multi-level thresholding: maximum entropy approach using ICM

  • Author

    Luo, Xiping ; Tian, Jie

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    778
  • 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. The paper deals with this problem using the ICM (iterated conditional modes) method. Experiments show that using the ICM with our initialization algorithm method gets satisfactory, if not optimal, results and the problem of computation is excellently solved
  • Keywords
    maximum entropy methods; probability; initialization algorithm method; iterated conditional modes; maximum entropy approach; multi-level thresholding; threshold selection methods; Automation; Computational modeling; Entropy; Histograms; Image converters; Probability distribution; Search methods; Simulated annealing; Space technology; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903660
  • Filename
    903660