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Real-time detection of lines using parallel coordinates and CUDA

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Abstract

The 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 study proposes a modified accumulation scheme for the Hough transform, using a new parameterization of lines “PClines”. This algorithm is suitable for computer systems with a small but fast read-write memory, such as today’s graphics processors. The algorithm requires no floating-point computations or goniometric functions. This makes it suitable for special and low-power processors and special-purpose chips. 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 a high resolution of the Hough space and with the Hough transform fully computed.

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Notes

  1. http://opencv.willowgarage.com.

  2. http://opencv.willowgarage.com.

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Acknowledgments

This research was supported by the EU FP7-ARTEMIS project no. 100230 SMECY, by the research project CEZMSMT, MSM0021630528, and by the CEZMSMT project IT4I - CZ 1.05/1.1.00/02.0070.

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  1. Graph@FIT, Brno University of Technology, Bozetechova 2, Brno, 612 66, Czech Republic

    Jiří Havel, Markéta Dubská, Adam Herout & Radovan Jošth

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  1. Jiří Havel
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  2. Markéta Dubská
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  3. Adam Herout
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  4. Radovan Jošth
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Correspondence to Markéta Dubská.

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Havel, J., Dubská, M., Herout, A. et al. Real-time detection of lines using parallel coordinates and CUDA. J Real-Time Image Proc 9, 205–216 (2014). https://doi.org/10.1007/s11554-012-0303-4

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