• DocumentCode
    398349
  • Title

    Image multithresholding based on sample moment function

  • Author

    Sezgin, Mehmet ; Sankur, Bulent

  • Author_Institution
    Inf. Technol. Res. Inst., Tubitak Marmara Res. Center, Kocaeli, Turkey
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    A new multilevel thresholding method is proposed using sample moment function (SMF). For the binary case the method can make use of the a priori information on whether the target object is found on the darker or lighter part of the scene. Extensive comparisons using a database of NDT images show that the proposed method outperforms in competition 40 other thresholding methods from the literature M. Sezgin et al. (2001) (2003), based upon both objective scores and subjective evaluation.
  • Keywords
    image segmentation; method of moments; nondestructive testing; visual databases; NDT images database; multilevel image thresholding method; sample moment function; target object; Histograms; Image databases; Image segmentation; Information technology; Layout; Nondestructive testing; Pixel; Reflectivity; Shape measurement; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1246705
  • Filename
    1246705