• DocumentCode
    3796159
  • Title

    Rotation Moment Invariants for Recognition of Symmetric Objects

  • Author

    Jan Flusser;Tom Suk

  • Author_Institution
    Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Prague
  • Volume
    15
  • Issue
    12
  • fYear
    2006
  • Firstpage
    3784
  • Lastpage
    3790
  • Abstract
    In this paper, a new set of moment invariants with respect to rotation, translation, and scaling suitable for recognition of objects having N-fold rotation symmetry are presented. Moment invariants described earlier cannot be used for this purpose because most moments of symmetric objects vanish. The invariants proposed here are based on complex moments. Their independence and completeness are proven theoretically and their performance is demonstrated by experiments
  • Keywords
    "Shape","Character recognition","History","Pattern recognition","Information theory","Automation","Aircraft","Image recognition","Satellites","Aerospace industry"
  • Journal_Title
    IEEE Transactions on Image Processing
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2006.884913
  • Filename
    4011957
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3796159