• DocumentCode
    388211
  • Title

    A frequency domain approach to synthesizing near optimum edge detection filters

  • Author

    Haas, William H. ; Lindquist, Claude S.

  • Author_Institution
    California State University, Long Beach, California
  • Volume
    5
  • fYear
    1980
  • fDate
    29312
  • Firstpage
    745
  • Lastpage
    748
  • Abstract
    A frequency domain approach to synthesizing near optimum edge detection filters is presented. This approach is based on the "method of ideal filter design"[1] which involves first deriving an ideal filter with a weighted least-squares-error realizable filter. For the spatial edge detection application, the high resolution ideal detection filter is employed along with some form of spectral smoothing or averaging to reduce an unwanted cross spectral density term. An example is presented to demonstrate the approach and results of filter application. The synthesis procedure presented here is most applicable to adaptive systems employing an FFT.
  • Keywords
    Context modeling; Digital filters; Frequency domain analysis; Image edge detection; Linear systems; Matched filters; Signal resolution; Smoothing methods; Spatial resolution; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1980.1170842
  • Filename
    1170842