• DocumentCode
    2612393
  • Title

    An image pyramid with morphological operators

  • Author

    Morales, Aldo ; Acharya, Raj

  • Author_Institution
    Coll. of Eng., Pennsylvania State Univ., DuBois, PA, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    526
  • Lastpage
    531
  • Abstract
    The aim of this research is to obtain a morphological pyramid with the aid of alternating sequential filters. The authors establish a relationship between alternating sequential filters and the morphological sampling theorem developed by R. Haralick et al. (1987). An alternative proof for opening and closing in the sampled and unsampled domain using the basis functions is shown. This decomposition is then used to show the relationship of the compound mapping opening-closing in the sampled and unsampled domain. An upper and a lower bound for the above relationships are presented. Under certain circumstances, an equivalence is shown for opening-closing between the sampled and the unsampled domain. An extension to more complicated algorithms using union of openings and intersection of closings is also proposed
  • Keywords
    computer vision; computerised picture processing; filtering and prediction theory; alternating sequential filters; basis functions; decomposition; image pyramid; morphological operators; morphological pyramid; morphological sampling theorem; multi-resolution morphology; opening-closing; sampled domain; unsampled domain; Computer vision; Distortion measurement; Educational institutions; Filters; Frequency; Kernel; Robustness; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139747
  • Filename
    139747