• DocumentCode
    2619354
  • Title

    Finding junctions using the image gradient

  • Author

    Beymer, David J.

  • Author_Institution
    Artificial Intelligence Lab., MIT, Cambridge, MA, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    720
  • Lastpage
    721
  • Abstract
    The author proposes a junction detector that works by filling in gaps at junctions in edge maps. It uses the image gradient to guide extensions of disconnected edges at junctions. A novel representation for the gradient, the bow tie map, is used to implement the endpoint growing rules, which include following gradient ridges and using saddle points in the gradient magnitude. The authors demonstrate the junction detector on real imagery
  • Keywords
    pattern recognition; picture processing; bow tie map; disconnected edges; edge maps; endpoint growing rules; following gradient ridges; gradient magnitude; image gradient; junction detector; saddle points; Artificial intelligence; Computer vision; Detectors; Image edge detection; Imaging phantoms; Laboratories; Machine vision; Optical filters; Optical noise; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139798
  • Filename
    139798