Foreign Object Debris Detection on the Runway Based on Wavelet Method

2013 ◽  
Vol 427-429 ◽  
pp. 1658-1661 ◽  
Author(s):  
Xiao Jing Guo ◽  
Xue You Yang ◽  
Zhi Jing Yu

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.

2013 ◽  
Vol 347-350 ◽  
pp. 3232-3236
Author(s):  
Zheng Bao Zhang ◽  
Chao Jia

Lots of anti-RST attacks watermarking algorithms have been proposed, but few solutions for local geometric attacks, in this paper it proposed a new algorithm combined with the the Wavelet Moment for an anti-geometric attacks. Since wavelet moment was proposed, it is widely used in the field of computer vision, image processing, but the large amount of computation must be improved to be applied to digital watermarking technology so that it can adapt to the real-time detection of digital watermarking. By image rotation, scaling, translation, shear, local distortions, filtering attack operations and so on, these attacks can be seen that the algorithm has good robustness, and the efficiency of watermark detection is relatively high. The experiments show that the algorithm is robustness, greatly accelerate the speed of operation, to unify the robust and efficient.


1997 ◽  
Author(s):  
Chul Gyu Song ◽  
Young Mook Lee ◽  
Sang Min Lee ◽  
Won Ky Kim ◽  
Jae Ho Lee ◽  
...  

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