• DocumentCode
    2223796
  • Title

    Invariant line segmentation for object recognition

  • Author

    So, W.C. ; Lee, C.K.

  • Author_Institution
    Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    1352
  • Abstract
    A fast method of line segmentation using the dominant point approach is described. It is based on Lowe´s method. The contribution of this paper is successfully finding the way of selecting initial points for starting Lowe´s algorithms. This is a crucial step for getting dominant points which are stable under variant scales and orientations. An one-dimensional pyramid structure is designed to speed up the process. In addition, a parallel algorithm for edge linking is also illustrated. This further reduces the overall speed for line grouping
  • Keywords
    edge detection; image segmentation; parallel algorithms; Lowe´s method; dominant point approach; edge linking; initial points; invariant line segmentation; line grouping; object recognition; one-dimensional pyramid structure; parallel algorithm; Arithmetic; Geometry; Hardware; Image edge detection; Joining processes; Object recognition; Parallel algorithms; Proposals; Shape; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339264
  • Filename
    339264