• DocumentCode
    2164032
  • Title

    A local approach for fast line detection

  • Author

    Lefevre, S. ; Dixon, C. ; Jeusse, C. ; Vincent, N.

  • Author_Institution
    Lab. d´´Informatique, Univ. de Tours, France
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1109
  • Abstract
    In this paper we are concerned with line detection for scene modelling. So we focus on horizontal and vertical lines and we propose a fast local approach to detect lines in binary images. The approach described here can easily be extended to lines characterized by other directions. Pixels are analysed using an accumulator on a block-based basis in order to obtain possible line segments for each block. As the results obtained rely only on a local analysis, their coherence can be further improved using a postprocessing step. The proposed method has been compared to classical approaches in order to show its efficiency.
  • Keywords
    edge detection; image sequences; video signal processing; accumulator; binary images; block-based basis; efficiency; fast local approach; horizontal lines; line detection; pixel analysis; postprocessing step; scene modelling; vertical lines; video sequence understanding; Convolution; Humans; Image analysis; Image edge detection; Image processing; Image segmentation; Layout; Video sequences; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
  • Print_ISBN
    0-7803-7503-3
  • Type

    conf

  • DOI
    10.1109/ICDSP.2002.1028286
  • Filename
    1028286