Application of Wavelet Analysis in Detecting Runway Foreign Object Debris
Abstract: Foreign Object
Debris (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 sub-system in FOD detecting system on the runway,
FOD image will be observed efficiently and rapidly with few economy costs and
highly accuracy and reliability. The paper 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 algorithm. 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.
Keywords: Wavelet analysis,
Foreign Object Debris (FOD), image de-noising, border detection, image processing
Author: Guo Xiao-jing, Yang
Xue-you, Yu Zhi-jing
Journal Code: jptkomputergg130107
