• DocumentCode
    1300836
  • Title

    Detecting edge segments

  • Author

    Delp, Edward J. ; Chu, C.H.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Issue
    1
  • fYear
    1985
  • Firstpage
    144
  • Lastpage
    152
  • Abstract
    The performances of three classes of edge operators are evaluated. The three are conventional 3×3 operators with a connectivity test, sequential edge detectors using both edge strength and direction information, and edge detectors using large masks. Implementations of the sequential edge operators using both the edge strength and direction information to detect edge segments with smoothly varying edge direction and physical length are discussed. Results of applying these edge detectors to real-world images are also presented.
  • Keywords
    picture processing; edge operators; edge segment detection; edge strength; image processing; picture processing; sequential edge detectors; Cybernetics; Detectors; Error probability; Image edge detection; Image segmentation; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1985.6313403
  • Filename
    6313403