Foreign Object Debris Detection on the Runway Based on Wavelet Method

Xiao Jing Guo; Xue You Yang; Zhi Jing Yu

doi:10.4028/www.scientific.net/AMM.427-429.1658

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Foreign Object Debris Detection on the Runway...

Foreign Object Debris Detection on the Runway Based on Wavelet Method

Abstract:

Depending on image processing system, a major sub-system in foreign object debris (FOD) detecting system on the runway, FOD image will be observed efficiently and rapidly with few economy costs and highly accuracy and reliability so as to ensure the passengers safety. The thesis analyses the characteristics and principles of wavelet transformation and applies the theory in image processing under poor visual background for identifying the FODs shape and mark characteristic point on the runway by programming in MATLAB. Besides that, it brings about profound significance for realizing the real-time detecting on the FOD and testing the feasibility and efficiency.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1658-1661

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1658

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Online since:

September 2013

Authors:

Xiao Jing Guo*, Xue You Yang, Zhi Jing Yu

Keywords:

Border Detection, Characteristic Identification, Foreign Object Debris (FOD), Image Processing, Wavelet Method

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* - Corresponding Author

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