• DocumentCode
    1472716
  • Title

    Structuring element decomposition for efficient implementation of morphological filters

  • Author

    Park, H. ; Yoo, J.

  • Author_Institution
    Dept. of Electron. Eng., Kwangwoon Univ., Seoul, South Korea
  • Volume
    148
  • Issue
    1
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    In order to implement morphological filters on image processing systems. The size of the structuring element must be small due to the architectural constraints of the systems. The decomposition of the structuring element is required for filters with large structuring elements. An algorithm for the decomposition of an arbitrary 4-connected binary structuring element is developed which enables sub-optimal implementation of binary morphological filters on a 3×3 pipeline machine. The given structuring element is first decomposed into the union of elements using a sequential search procedure, then each element is further decomposed optimally into 3×3 elements, resulting in final sub-optimal 3×3 hybrid decomposition. The proposed algorithm is applied to some structuring elements and results close to the optimum are obtained
  • Keywords
    filtering theory; image processing; mathematical morphology; pipeline processing; search problems; 4-connected binary structuring element; architectural constraints; binary morphological filters; hybrid decomposition; image processing systems; pipeline machine; sequential search procedure; structuring element decomposition; sub-optimal implementation;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20010240
  • Filename
    918400