Academic Journals Database
Disseminating quality controlled scientific knowledge

Application of Wavelet Analysis in Detecting Foreign Object Debris on the Runway

Author(s): Guo Xiaojing | Yang Xue-you | Yu Zhi-jing

ISSN 1693-6930

Volume: 11;
Issue: 4;
Date: 2013;
Original page

Keywords: Wavelet Analysis | Foreign Object Debris (FOD) | image de-noising | border detection | image processing

FOD is dangerous for aircraft safety. And it can be suggested to use image processing technology on the FOD’s detection. Depending on image processing system, a major subsystem 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. The thesis analyses the characteristics and principles of wavelet transformation algorithm and applies wavelet theory on FOD’s Identification and detection. Identifying the FOD’s shape and marking characteristic point on the runway under poor visual background would be accomplished by programming in MATLAB using wavelet algrithm. The results show that the plan is applicable. Besides that, it brings about profound significance for realizing the real-time detecting on the FOD and testing with more feasibility and efficiency.
Why do you need a reservation system?      Affiliate Program