• DocumentCode
    2138450
  • Title

    Fuzzy Hough transform

  • Author

    Han, Joon H. ; Koczy, Laszlo T. ; Poston, Timothy

  • Author_Institution
    Dept. of Comput. Sci., Pohang Inst. of Sci. & Technol., South Korea
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    803
  • Abstract
    To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles
  • Keywords
    Hough transforms; fuzzy set theory; image recognition; circles; fuzzy Hough transform; lines; shape detection; Computer science; Digital images; Fitting; Fuzzy systems; Integral equations; Noise shaping; Quantization; Shape; Telematics; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1993., Second IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0614-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1993.327545
  • Filename
    327545
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2138450