A BIO-INSPIRED CONTRAST ADAPTATION MODEL AND ITS APPLICATION FOR AUTOMATIC LANE MARKS DETECTION
Valiantsin Hardzeyeu, Frank Klefenz
2008
Abstract
Even in significant light intensity fluctuations human beings still can sharply perceive the surrounding world under various light conditions: from starlight to sunlight. This process starts in the retina, a tiny tissue of a quarter of a millimeter thick. Based on retinal processing principles, a bio-inspired computational model for online contrast adaptation is presented. The proposed method is developed with the help of the fuzzy theory and corresponds to the models of the retinal layers, their interconnections and intercommunications, which have been described by neurobiologists. The retinal model has been coupled in the successive stage with the Hough transformation in order to create a robust lane marks detection system. The performance of the system has been evaluated with the number of test sets and showed good results.
References
- David H. Hubel, Eye, Brain and Vision, Freeman, 1995.
- Linda G. Shapiro, George C. Stockman, Computer Vision, Prentice-Hall , 2001.
- Bence P. Ölveczky, Stephen A. Baccus & Markus Meister, “Segregation of the object and background motion in the retina,” Nature, Vol. 423, May 2003, pp. 401 - 408.
- Richard H. Masland, “The fundamental plan of the Retina,” Nature Neuroscience, Vol.4 No. 9, September 2001, pp. 877 - 886.
- Michael J. Berry II, Iman H. Brivanlou, Thomas A. Jordan & Markus Meister, “Anticipation of moving stimuli by the retina,“ Nature, Vol. 398,March 1999, pp. 334- 338.
- Hugh R. Wilson, “Nonlinear processes in the visual discrimination”, Proc. Natl. Acad. Sci. USA, Vol. 90, 1993, pp. 9785 - 9790.
- Stelios M. Smirnakis, Michael J. Berry, David K. Warland, William Blalek & Markus Meister, “Adaptation of retinal processing to image contrast and spatial scale,” Nature, Vol. 386,March 1997,pp. 69-73
- Stephan A. Baccus & Markus Meister, “Retina Versus Cortex: Contrast Adaptation in Parallel Visual Pathways”, Neuron, 2003, pp. 5 - 7.
- Stephan A. Baccus & Markus Meister, “Fast and Slow Contrast Adaptation in Retinal Circuitry,” Neuron, Vol. 36, 2002, pp. 909 - 919.
- Samuel Solomon, Jonathan Peirce, Neel Dhruv, Peter Lennie, “Profound Contrast Adaptation Early in the Visual Pathway”, Neuron, vol. 42, 2004, pp. 155-162 Zadeh L.A., “Fuzzy Sets”, Information and Control, 1965, vol. 8, pp. 338 - 353.
- Marr D., Vision, Freeman, pp. 54 - 78. 1982.
- Risack, R.; Mohler, N.; Enkelmann, W., A video-based lane keeping assistant, Intelligent Vehicles Symposium, 2000. Proceedings of the IEEE, pp. 356 - 361, 2000.
- Tang-Hsien Chang; Chun-Hung Lin; Chih-Sheng Hsu; Yao-Jan Wu. A vision-based vehicle behavior monitoring and warning system Proceedings IEEE, Volume 1, pp. 448 - 453, 2003.
- Leavers, V.F., Shape detection in Computer Vision using Hough Transform. Springer - Verlag, p.201, 1992.
- Gary G. Blasdel, “Orientation Selectivity, Preference, and Continuity in Monkey Striate Cortex”, The Journal of Neuroscience, Aug. 1992, 12 (8): 3139 - 3161.
- Ballard D., Hinton J., Sejnowski T., Parallel visual computation. Nature 306, pp. 21 - 26, 1983.
- T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio, “Robust Object Recognition with Cortex-like Mechanisms”, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 3, March 2007.
- Brueckmann, A., Klefenz F., Wuensche, A. A neural Net for 2-D Slope and Sinusoidal Shape Detection. International Scientific Journal of Computing. Vol. 3 (1), pp. 21 - 26, 2004.
Paper Citation
in Harvard Style
Hardzeyeu V. and Klefenz F. (2008). A BIO-INSPIRED CONTRAST ADAPTATION MODEL AND ITS APPLICATION FOR AUTOMATIC LANE MARKS DETECTION . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 513-520. DOI: 10.5220/0001065705130520
in Bibtex Style
@conference{biosignals08,
author={Valiantsin Hardzeyeu and Frank Klefenz},
title={A BIO-INSPIRED CONTRAST ADAPTATION MODEL AND ITS APPLICATION FOR AUTOMATIC LANE MARKS DETECTION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={513-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001065705130520},
isbn={978-989-8111-18-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - A BIO-INSPIRED CONTRAST ADAPTATION MODEL AND ITS APPLICATION FOR AUTOMATIC LANE MARKS DETECTION
SN - 978-989-8111-18-0
AU - Hardzeyeu V.
AU - Klefenz F.
PY - 2008
SP - 513
EP - 520
DO - 10.5220/0001065705130520