DocumentCode :
535121
Title :
X-ray detection of tiny defects in strongly scattered structures using the EMD method
Author :
Chen, Fang-lin ; Wang, Li-ming ; Han, Yan
Author_Institution :
Nat. Key Lab. for Electron. Meas. Technol., North Univ. of China, Taiyuan, China
Volume :
3
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
1033
Lastpage :
1037
Abstract :
Non-destructive testing of polymer materials meets specific problems caused by strongly scattering of X-ray detection. When the expected flaws are very small, the information reflected by the flaws may be hidden in the gray-level oscillation caused by strongly scattered structures of polymer materials. For improved detection of defects in polymer materials, a new automatic detection approach based on the EMD (Empirical Modal Decomposition) method, including a new algorithm that using IE (Information Entropy) and PSNR (Peak Signal to Noise Ratio) to control EMD optimal decomposition is proposed. The experimental investigations demonstrated a good performance of the proposed technique in the case of strongly scattering polymer sample. At the same time, it is suitable for all types of defect detection.
Keywords :
X-ray detection; entropy; image processing; nondestructive testing; EMD method; EMD optimal decomposition; X-ray detection; empirical modal decomposition method; information entropy; nondestructive testing; polymer materials; strongly scattered structures; tiny defects; DH-HEMTs; Information entropy; PSNR; Polymers; Scattering; X-ray imaging; EMD; Image processing; X-ray detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5646943
Filename :
5646943
Link To Document :
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