• DocumentCode
    3643227
  • Title

    PClines — Line detection using parallel coordinates

  • Author

    Markéta Dubská;Adam Herout;Jiří Havel

  • Author_Institution
    Brno University of Technology, Bož
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    1489
  • Lastpage
    1494
  • Abstract
    Detection of lines in raster images is often performed using Hough transform. This paper presents a new parameterization of lines and a modification of the Hough transform-PClines. PClines are based on parallel coordinates, a coordinate system used mostly or solely for high-dimensional data visualization. The PClines algorithm is described in the paper; its accuracy is evaluated numerically and compared to the commonly used line detectors based on the Hough transform. The results show that PClines outperform the existing approaches in terms of accuracy. Besides, PClines are computationally extremely efficient, require no floating-point operations, and can be easily accelerated by different hardware architectures.
  • Keywords
    "Transforms","Accuracy","Equations","Shape","Mathematical model","Image edge detection","Image segmentation"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4577-0394-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2011.5995501
  • Filename
    5995501