• DocumentCode
    3205459
  • Title

    Nonlinear multiscale filtering using mathematical morphology

  • Author

    Morales, Aldo ; Acharya, Raj

  • Author_Institution
    Coll. of Eng., Pennsylvania State Univ., DuBois, PA, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    572
  • Lastpage
    578
  • Abstract
    A multiscale filtering scheme based on the three Matheron axioms for morphological openings is developed. It is shown that opening a signal with a gray scale operator does not introduce additional zero-crossings as one moves to coarser scales. Within this framework, the problem of choosing an appropriate structuring element is studied. In order to obtain a measure of the performance of different structuring elements, the statistical properties of gray scale opening are studied, using a powerful tool in mathematical morphology, namely, basis functions
  • Keywords
    image processing; mathematical morphology; pattern recognition; Matheron axioms; basis functions; gray scale operator; mathematical morphology; nonlinear multiscale filtering; statistical properties; structuring element; Data compression; Educational institutions; Filtering; Image analysis; Kernel; Morphology; Multidimensional signal processing; Nonlinear filters; Signal analysis; Signal representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223133
  • Filename
    223133