• DocumentCode
    3062000
  • Title

    Parameter isolating transforms and admissible distortions

  • Author

    Cyganski, David

  • Author_Institution
    Worcester Polytechnic Institute Worcester, Massachusetts
  • Volume
    8
  • fYear
    1983
  • fDate
    30407
  • Firstpage
    1141
  • Lastpage
    1143
  • Abstract
    An often encountered pattern recognition problem is that of identifying a given image as related to one of a set of prototypes even though they may differ by virtue of the action of a non-linear mapping of image points. Certain parameterized distortions are such that a transform may be found that has the property of isolating the distortion effect as a factor in the transform space allowing subsequent identification and removal of the distortion. Herein the most general form of distortion is found that allows a related transform with such properties to be constructed. Furthermore a test for the admissibility of a distortion is given as well as the general form of the required parameter isolating transform.
  • Keywords
    Image recognition; Kernel; Nonlinear distortion; Pattern recognition; Phase distortion; Prototypes; Signal processing; Speech; Testing; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1983.1171979
  • Filename
    1171979