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. © 2011 Springer-Verlag.
CITATION STYLE
Jošth, R., Dubská, M., Herout, A., & Havel, J. (2011). Real-time line detection using accelerated high-resolution hough transform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6688 LNCS, pp. 784–793). https://doi.org/10.1007/978-3-642-21227-7_73
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