Airport Runway Debris Edge Detection Algorithm

Article Preview

Abstract:

Airport runway debris detection decides security of plane and passengers. The relative merits of the various types of sensor and the effects of adverse environmental conditions on their performance, a novel fuzzy weighted morphology algorithm of detection about runway debris is approved. The experimental results show that the proposed algorithm, compared with a few classic algorithms of edge detection, which can achieves the image edge precisely and reduce noises, better retain the image details, and adaptively detect the complete and successive edges.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1065-1069)

Pages:

671-674

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Lihui Jiang, Yanying Guo. Image edge detection based on adaptive weighted morphology. Chinese Optics Letters, Vol. 5, No. 2, 77-78(2007).

Google Scholar

[2] M. H. Seraglio and Q. H. Wu. Weighted Morphological filter. Electronics Letter. vol. 34, no. 2 1566-1567(1998).

Google Scholar

[3] Zhang Jian-rong, Guo Yan-ying and Yang Guo-qing. Airport runway debris detection based on weighted fuzzy morphology algorithm[C]. International Conference on Computer Application and System Modeling, 2010: 1713-1716.

DOI: 10.1109/iccasm.2010.5619089

Google Scholar

[4] Dawei Oi and Fan Guo, Medical Image Edge Detection Based on Omni-directional Multi-scale Structure Element of Mathematical Morphology, Proceedings of the IEEE International Conference on Automation and Logistics August 18-21, 2007, Jinan, China.

DOI: 10.1109/ical.2007.4338956

Google Scholar

[5] Guo Yan-Ying, Yang Guo-Qing, Jiang Li-Hui. Adaptive weighted morphology detection algorithm of plane object in docking guidance system [J]. International Journal of Advanced Robotic Systems, 2010, 7(2): 99-104.

DOI: 10.1109/icmlc.2008.4621004

Google Scholar