• DocumentCode
    2926566
  • Title

    The selection of edge detectors using local image structure

  • Author

    Ziou, D. ; Koukam, A.

  • Author_Institution
    Dept. de Math. et d´´Inf., Sherbrooke Univ., Que., Canada
  • fYear
    1995
  • fDate
    5-8 Nov 1995
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    This paper summarizes a system, called SED, “Selection-of Edge Detectors”, which is able to automatically select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure about the characteristics of the given edge, the properties of the detectors and the mutual relation between them. The combination of this information in the selection process provides a basis for avoiding a combinatorial search for appropriate edge detectors. We illustrate our approach by an example
  • Keywords
    computer vision; edge detection; feature extraction; SED; Selection-of Edge Detectors; combinatorial search; computer vision; edge detector selection; edge extraction; knowledge structure; local image structure; Computer vision; Data mining; Detectors; Failure analysis; Image analysis; Image edge detection; Information resources; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
  • Conference_Location
    Herndon, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7312-5
  • Type

    conf

  • DOI
    10.1109/TAI.1995.479655
  • Filename
    479655