• DocumentCode
    2041395
  • Title

    The analysis of mathematical morphological structuring element decomposition and its lower bound

  • Author

    Li Kun ; Xie Chengkun

  • Author_Institution
    Southwestern Inst. of Phys., Chengdu, China
  • Volume
    2
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    1002
  • Abstract
    Mathematical morphology, which is a set theoretical methodology for image analysis, can rigorously quantify many aspects of the geometrical structure of signals in a way that agrees with human intuition and perception. The paper, which is based on the synthetical idea, analyzes the decomposition of a morphological structuring element. For any N-point structuring element, it concludes that the correct lower bound of decomposition is e/spl middot/lnN.<>
  • Keywords
    computational geometry; mathematical morphology; set theory; signal processing; N-point structuring element; geometrical structure; image analysis; lower bound; mathematical morphological structuring element decomposition; set theoretical methodology; signal processing; signals; synthetical idea; Electron microscopy; Equations; Hardware; Humans; Image analysis; Morphological operations; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.320182
  • Filename
    320182