Skip to main content

Two Dimensional Pseudo-Wiener Filtering in Ultrasonic Imaging for Nondestructive Evaluation Applications

  • Chapter
Review of Progress in Quantitative Nondestructive Evaluation

Abstract

This paper deals with the use of a two dimensional pseudo-Wiener filter for ultrasonic image enhancement. Experimental results are presented to demonstrate the effectiveness of the technique for the improvement of the lateral resolution and image enhancement of ultrasonic images in materials such as graphite/epoxy composites and stainless steel. The difficulties encountered in the implementation of the filter will be delineated. Methods of overcoming some of these ‘implementational hurdles’ will be suggested.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wells P.N.T., “Biomedical Ultrasonics”, Academic Press, London, 1977.

    Google Scholar 

  2. Krautkramer J. and Krautkramer H., “Ultrasonic Testing of Materials”, Springer-Verlag, Berlin, FRG, 1977.

    Google Scholar 

  3. Newhouse V.L., Bilgutay N.M., Saniie J. and Furgason E.S., “Flaw-to-grain Echo Enhancement”, Ultrasonics International, Butterworth Scientific, U.K., pp:152–156, 1979.

    Google Scholar 

  4. Karpur P., “Split Spectrum Processing: Process Modeling and the Evaluation of Polarity Thresholding Algorithm for Material Noise Reduction in Ultrasonic NDE”, Ph.D. Dissertation, Drexel University, Philadelphia, 1987.

    Google Scholar 

  5. Karpur P., Shankar P.M., Rose J.L. and Newhouse V.L., “Split Spectrum Processing: Determination of the Available Bandwidth for Spectral Splitting”, Accepted for Pub lication in an upcoming issue of Ultrasonics, Butterworth Scientific, U.K.

    Google Scholar 

  6. Bhagat P.K., Chimenti D.E., Moran TJ. and Shimin K.D., “Effects of Deconvolu tion Procedures on Size Estimates in the Born Inversion Algorithm”, Review of Progress in Quantitative Nondestructive Evaluation, Vol. 3A, pp:395–403, 1984.

    Article  Google Scholar 

  7. Bhagat P.K. and Shimmin K.D., “Homomorphic Processing in Ultrasonic NDE”, Review of Progress in Quantitative Nondestructive Evaluation, Vol. 3A, pp:351–358, 1984.

    Article  Google Scholar 

  8. Burch S.F., “Comparison of SAFT and Two-Dimensional Deconvolution Methods for the improvement of Resolutoin in Ultrasonic B-scan Images”, Ultrasonics, Butterworth Scientific, Vol. 25, pp:259–266, September, 1987.

    Article  Google Scholar 

  9. Vollmann W., “Resolution Enhancement of Ulrasonic B-scan Images by Deconvolu tion”, IEEE Transactions on Sonics and Ultrasonics, Vol. SU29, No.3, pp:78–83, March 1983.

    Google Scholar 

  10. Childers D.G., Skinner D.P. and Kemerait R.C., “The Cepstrum: A Guide to Proc essing”, Proceedings if the IEEE, Vol. 65, No. 10, pp:1428–1443, October 1977.

    Article  Google Scholar 

  11. Frock B.G., Martin R.W., Moran TJ. and Shimmin K.D., “Imaging of Impact Damage in Composite Materials”, Review of Progress in Quantitative Non destructive Evaluation, Vol. 7, 1987.

    Google Scholar 

  12. Burgoyne B., Pavkovich J. and Kino G.S., “Digital Filtering of Acoustic Images”, Acoustical Imaging, Vol. 11, Plenum Press, New York, pp:181–166, 1981.

    Google Scholar 

  13. Andrews H.C. and Hunt B.R., “Digital Image Restoration”, Prentice-Hall, Inc., 1977.

    Google Scholar 

  14. Gonzalez R. and Wintz P., “Digital Image Processing”, Addison-Wesley Publishing Co., 1977.

    Google Scholar 

  15. Lee H., “Formulation of the Generalized Backward-Projection Method for Acoustical Imaging”, IEEE Transactions on Sonics and Ultrasonics, Vol. SU-31, No.3, pp:157–161, May 1984.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer Science+Business Media New York

About this chapter

Cite this chapter

Karpur, P., Frock, B.G. (1989). Two Dimensional Pseudo-Wiener Filtering in Ultrasonic Imaging for Nondestructive Evaluation Applications. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0817-1_93

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-0817-1_93

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8097-2

  • Online ISBN: 978-1-4613-0817-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics