• DocumentCode
    1175851
  • Title

    The transformation of photographic images into stroke arrays

  • Author

    Ramer, E. Urs

  • Volume
    22
  • Issue
    4
  • fYear
    1975
  • fDate
    4/1/1975 12:00:00 AM
  • Firstpage
    363
  • Lastpage
    374
  • Abstract
    A procedure for extracting edge information from real photographs of both flat-faced and curved three-dimensional objects is described. Initially the photograph is subjected to a nonlinear transformation which is based on an edge detection operator by Hueckel. The gray-value variations of a photograph are transformed into short vectors (strokes), which are arranged in a two-dimensional array that has substantially fewer entries than the original image array. The display of a stroke array provides "outline" information that is highly intelligible to the human eye. Using graph searching techniques, strokes are assembled into structures called streaks. Streaks are digital curves which exhibit cellular as well as polygonal properties. The representation of streaks as well as other data can be marked directly in the stroke array, thus making the array usable as an associative memory. This greatly facilitates further processing.
  • Keywords
    Digital networks and systems; Image analysis; Assembly; Associative memory; Data mining; Displays; Humans; Image analysis; Image edge detection; Layout; Optical distortion; Shape;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/TCS.1975.1084044
  • Filename
    1084044