• DocumentCode
    1760153
  • Title

    Comment on “Collinear Segment Detection Using HT Neighborhoods”

  • Author

    Rahmdel, Payam S. ; Daming Shi ; Comley, Richard

  • Author_Institution
    Media & Graphics Interdiscipl. Centre, Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    23
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    952
  • Lastpage
    955
  • Abstract
    A novel application of the Hough transform (HT) neighborhood approach to collinear segment detection was proposed in [1]. It, however, suffered from one major weakness in that it could not provide an effective solution to the case of segment intersection. This paper analyzes a vital prerequisite step, disturbance elimination in the Hough space, and shows why, this method alone, is incapable of distinguishing the true segment endpoints. To address the problem, a unique HT butterfly separation method is proposed in this correspondence, as an essential complement to the above publication.
  • Keywords
    Hough transforms; computational geometry; image segmentation; object detection; HT butterfly separation method; HT neighborhoods; Hough transform neighborhood approach; collinear segment detection; disturbance elimination; segment endpoints; segment intersection; Computational geometry; Image segmentation; Object detection; Transforms; Collinear segment detection; Hough Transform; disturbance elimination; segment intersection;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2013.2291329
  • Filename
    6665114