Faculty of Information Technology, BUT

Publication Details

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

JOŠTH Radovan, DUBSKÁ Markéta, HEROUT Adam and HAVEL Jiří. Real-Time Line Detection Using Accelerated High-Resolution Hough Transform. In: Proceedings of SCIA 2011, LNCS. Ystad: Springer Verlag, 2011, pp. 784-793. ISBN 978-3-642-21226-0.
Czech title
Detekce čar v reálném čase pomocí akcelerované Houghovy transformace
Type
conference paper
Language
english
Authors
Keywords
Line Detection, Hough-Transform, Real-Time, GPU, CUDA
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 real-world photos of high resolutions.  The results show that using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates even with high resolution of the Hough space and with the Hough transform fully computed.
Published
2011
Pages
784-793
Proceedings
Proceedings of SCIA 2011, LNCS
Conference
Scandinavian Conference on Image Analysis, Ystad Saltsjöbad, SE
ISBN
978-3-642-21226-0
Publisher
Springer Verlag
Place
Ystad, SE
BibTeX
@INPROCEEDINGS{FITPUB9507,
   author = "Radovan Jo\v{s}th and Mark\'{e}ta Dubsk\'{a} and Adam Herout and Ji\v{r}\'{i} Havel",
   title = "Real-Time Line Detection Using Accelerated High-Resolution Hough Transform",
   pages = "784--793",
   booktitle = "Proceedings of SCIA 2011, LNCS",
   year = 2011,
   location = "Ystad, SE",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-21226-0",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9507"
}
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