• 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