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Image Processing Techniques for Improved Porosity Estimation

  • Nader Saffari
  • Amit Som
  • David T. Green

Abstract

The work reported here is on the first phase of the development of an automated image analysis package. It is intended that the initial application should be to the problem of porosity estimation in powder metals. Although a great deal of work has been concentrated recently on using ultrasonic velocity changes and attenuation for porosity estimation, the problem can also be addressed through acoustical imaging.

Keywords

Binary Image Wiener Filter Acoustical Imaging Resolution Enhancement Inverse Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Mitchell KW and Gilmore RS (1992), in ‘Review of Progress in Quantitative NDE’, Thompson DO and Chimenti DE, vol IIA, Plenum Press, pp 895–902.CrossRefGoogle Scholar
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    Gonzalez RC and Wintz P (1987), ‘Digital Image Processing’, Addison-Wesley.Google Scholar
  3. 3.
    Frock BG and Karpur P (1989), in ‘Review of Progress in Quantitative NDE’, Thompson DO and Chimenti DE, vol 8A, pp 701–708.Google Scholar

Copyright information

© Plenum Press, New York 1993

Authors and Affiliations

  • Nader Saffari
    • 1
  • Amit Som
    • 1
  • David T. Green
    • 2
  1. 1.Dept. of Mechanical Eng.University College LondonLondonUK
  2. 2.Royal Ordnance plcWestcott, AylesburyUK

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