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
         
        
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Image and Signal Processing (CISP), 2010 3rd International Congress on
         
        
            Conference_Location : 
Yantai
         
        
            Print_ISBN : 
978-1-4244-6513-2
         
        
        
            DOI : 
10.1109/CISP.2010.5646943