Edge Detection Algorithm Based on Wavelet De-nosing Applied tothe X-ray Image Enhancement of the Electric Equipment
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Edge Detection Algorithm Based on Wavelet De-nosing Applied tothe X-ray Image Enhancement of the Electric Equipment

Authors: Fei Xue, Hong Yu, Da-da Wang, Wei Zhang, Rong-min Zou, Xiao-lanCai

Abstract:

The X-ray technology has been used in non-destructive evaluation in the Power System, in which a visual non-destructive inspection method for the electrical equipment is provided. However, lots of noise is existed in the images that are got from the X-ray digital images equipment. Therefore, the auto defect detection which based on these images will be very difficult to proceed. A theory on X-ray image de-noising algorithm based on wavelet transform is proposed in this paper. Then the edge detection algorithm is used so that the defect can be pushed out. The result of experiment shows that the method which utilized by this paper is very useful for de-noising on the X-ray images.

Keywords: de-noising, edge detection, wavelet transform, X-ray

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072658

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1554

References:


[1] Rafael C. Gonzalez, Richard E. Woods. Digital Image Processing (3rd Edition)
[M]. Electronic Industry Press, 2003
[2] He Liu. Digital image processing and application
[ M ] . Beijing: China electric power press, 2005.
[3] D L Donoho. De-nosing by soft-thresholding
[ J] . IEEE Transact ionson Information Theory, 1995, 41(3) : 613- 627.
[4] Canny John. A Computational Approach to Edge Detection.IEEE Transactions on Pattern Analysis and MachineIntelligence, Vol, PAMI-8,No.6,1986,pp.679-698.
[5] YANG Xian-Hua, LI Yue-Hua.Study on Edge Detection Algorithm in Image Processing, Development & Innovation of Machinery & Electrical Products, 2(23), 2010 .3
[6] ZHANG Xiang-fen, XIAO Shu-jun, YE Hong.Study on Choosing Parameters in Denoising Magnetic Resonance Images Based on Wavelet, Ludong University Journal(Natural Science Edition), 2010, 26( 4) : 318-321