• DocumentCode
    1052015
  • Title

    Complete sets of complex Zernike moment invariants and the role of the pseudoinvariants

  • Author

    Wallin, Åke ; Kübler, Olaf

  • Author_Institution
    M.E. Muller-Inst. for Biomech., Bern Univ., Switzerland
  • Volume
    17
  • Issue
    11
  • fYear
    1995
  • fDate
    11/1/1995 12:00:00 AM
  • Firstpage
    1106
  • Lastpage
    1110
  • Abstract
    Moment invariants are important shape descriptors in computer vision. In this paper rules are presented to form complete sets of rotational invariants of arbitrary order given complex Zernike moments. The relevance of the pseudoinvariants is shown by inverting the rotational invariants to reconstruct the normalized image pattern
  • Keywords
    computer vision; image reconstruction; method of moments; complex Zernike moments; computer vision; image pattern normalisation; moment invariants; pseudoinvariants; rotational invariants; shape descriptors; Biomedical imaging; Character recognition; Computer vision; Image generation; Image processing; Image recognition; Image reconstruction; Polynomials; Reflection; Shape;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.473239
  • Filename
    473239