• DocumentCode
    1120966
  • Title

    Fourier Coding of Image Boundaries

  • Author

    Chellappa, R. ; Bagdazian, R.

  • Author_Institution
    Department of Electrical Engineering and the Image Processing Institute, University of Southern California, Los Angeles, CA 90089.
  • Issue
    1
  • fYear
    1984
  • Firstpage
    102
  • Lastpage
    105
  • Abstract
    A transform coding scheme for closed image boundaries on a plane is described. The given boundary is approximated by a series of straight line segments. Depending on the shape, the boundary is represented by the (x-y) coordinates of the endpoints of the line segments or by the magnitude of the successive radii vectors that are equispaced in angle around the given boundary. Due to the circularity present in the data, the discrete Fourier transform is used to exactly decorrelate the finite boundary data. By fitting a Gaussian circular autoregressive model to represent the boundary data, estimates of the variances of the Fourier coefficients are obtained. Using the variances of the Fourier coefficients and the MAX quantizer, the coding scheme is implemented. The scheme is illustrated by an example.
  • Keywords
    Area measurement; Clouds; Cyclones; Delay; Image coding; Image edge detection; Image segmentation; Pattern recognition; Pixel; Satellites; Boundary coding; circular autoregressive models; image coding; transform coding;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1984.4767482
  • Filename
    4767482