Improved Traffic Lane Edge Detection Algorithm Based on Mathematical Morphology

DOI

10.2991/iwmecs-15.2015.131How to use a DOI?

Keywords

Lane edge detection; morphological filter; Otsu; morphology.

Abstract

In view of the limited anti-noise of traditional traffic lane edge detection algorithm, the paper put forward to a new traffic lane edge detection algorithm based on traditional mathematical morphology. For solving the problem of uneven road surface caused by illumination and rainy, this paper combine two method of morphological filter and Otsu to segment image and take the improved algorithm to detect the traffic lane edge. Finally, through collecting the images of a campus road under different environment factors, detect traffic lane edge by using the improved algorithm .The simulation results show that, under various weather conditions, this algorithm can detect traffic lane edge correctly and continuously, and have a strong capability of anti-noise. This improved algorithm is of certain guiding significance in practice.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liying Wu
AU  - Qiang Yu
AU  - Tongqiang Xu
AU  - Shuo Zhang
PY  - 2015/10
DA  - 2015/10
TI  - Improved Traffic Lane Edge Detection Algorithm Based on Mathematical Morphology
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 657
EP  - 661
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.131
DO  - 10.2991/iwmecs-15.2015.131
ID  - Wu2015/10
ER  -