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Real-Time Line Detection Using Accelerated High-Resolution Hough Transform

  • Radovan Jošth
  • Markéta Dubská
  • Adam Herout
  • Jiří Havel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6688)

Abstract

Hough transform is a well-known and popular algorithm for detecting lines in raster images. The standard Hough transform is rather slow to be usable in real-time, so different accelerated and approximated algorithms exist. This paper proposes a modified accumulation scheme for the Hough transform, which makes it suitable for computer systems with small but fast read-write memory – such as the today’s GPUs. The proposed algorithm is evaluated both on synthetic binary images and on complex high resolution real-world photos. The results show that using today’s commodity graphics chips, the Hough transform can be computed at interactive frame rates even with a high resolution of the Hough space and with the Hough transform fully computed.

Keywords

Line Detection Hough-Transform Real-Time GPU CUDA 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Radovan Jošth
    • 1
  • Markéta Dubská
    • 1
  • Adam Herout
    • 1
  • Jiří Havel
    • 1
  1. 1.Faculty of Information TechnologyGraph@FIT, Brno University of TechnologyBrnoCzech Republic

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