• DocumentCode
    2825540
  • Title

    Edlines: Real-time line segment detection by Edge Drawing (ed)

  • Author

    Akinlar, Cuneyt ; Topal, Cihan

  • Author_Institution
    Comput. Eng. Dept., Anadolu Univ., Eskisehir, Turkey
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2837
  • Lastpage
    2840
  • Abstract
    We propose a linear time line segment detector that gives accurate results, requires no parameter tuning, and runs up to 11 times faster than the fastest known line segment detection algorithm in the literature; namely, the LSD by Gioi et al. The proposed algorithm also includes a line validation step due to the Helmholtz principle, which lets it control the number of false detections. Our detector makes use of the clean, contiguous (connected) chain of edge pixels produced by our novel edge detector, the Edge Drawing (ED) algorithm; hence the name EDLines. With its accurate results and blazing speed, EDLines will be very suitable for the next generation real-time computer vision applications.
  • Keywords
    computational geometry; computer vision; edge detection; image segmentation; EDLines; Helmholtz principle; edge detector; edge drawing algorithm; line validation step; linear time line segment detector; real-time computer vision; real-time line segment detection algorithm; Detectors; Gray-scale; Image edge detection; Image segmentation; Real time systems; Transforms; Edge Drawing Algorithm; Helmholtz Principle; LSD; NFA; Real-Time Line Segment Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116138
  • Filename
    6116138