• DocumentCode
    2333262
  • Title

    Rotation invariant image pattern recognition using ring spiral scanning

  • Author

    Sims, S.R.F. ; Poularikas, A.D.

  • Author_Institution
    US Army Missile Command Res. Dev. & Eng. Center, Redstone Arsenal, AL, USA
  • fYear
    1990
  • fDate
    11-13 Mar 1990
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    One of the techniques used to detect and recognize objects in an image is the synthetic discriminant function. The technique is based on spatial autocorrelation and frequency-domain data processing. To minimize the time needed to process a full image, the ring spiral approach is proposed and investigated. It is found that for images without additive noise the speed of detection improved by more than a factor of 1000
  • Keywords
    pattern recognition; frequency-domain data processing; ring spiral scanning; rotation invariant image pattern recognition; spatial autocorrelation; synthetic discriminant function; Additive noise; Autocorrelation; Data processing; Frequency domain analysis; Image recognition; Military computing; Missiles; Object detection; Pattern recognition; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1990., Twenty-Second Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-2038-2
  • Type

    conf

  • DOI
    10.1109/SSST.1990.138166
  • Filename
    138166
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2333262