• DocumentCode
    276175
  • Title

    Comparison of two generating kernels in linked-pyramid segmentation of noisy images

  • Author

    Lam, S.W.C. ; Ip, H.H.S.

  • Author_Institution
    City Polytech. of Hong Kong, Hong Kong
  • fYear
    1992
  • fDate
    7-9 Apr 1992
  • Firstpage
    349
  • Lastpage
    352
  • Abstract
    Linked node pyramid segmentation is a cooperative and iterative segmentation process. The first step of carrying out the segmentation is forming an initial pyramid. Overlapped local averaging has been used as the blurring scheme for the formation of the initial pyramid. The paper studies two different blurring filters: Gaussian and morphological filters. The segmentation performance of these filtering schemes are measured according to some objective criteria and the pros and cons of these schemes are discussed
  • Keywords
    computerised pattern recognition; computerised picture processing; iterative methods; Gaussian filters; blurring filters; blurring scheme; cooperative segmentation; generating kernels; iterative segmentation; linked node pyramid segmentation; morphological filters; noisy images; overlapped local averaging; segmentation performance;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing and its Applications, 1992., International Conference on
  • Conference_Location
    Maastricht
  • Print_ISBN
    0-85296-543-5
  • Type

    conf

  • Filename
    146809