Skip to main content
SpringerLink
Log in

MR Images Restoration With the Use of Fuzzy Filter Having Adaptive Membership Parameters

  • Original Paper
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

A new fuzzy adaptive median filter is presented for the noise reduction of magnetic resonance images corrupted with heavy impulse (salt and pepper) noise. In this paper, we have proposed a Fuzzy Adaptive Median Filter with Adaptive Membership Parameters (FAMFAMP) for removing highly corrupted salt and pepper noise, with preserving image edges and details. The FAMFAMP filter is an improved version of Adaptive Median Filter (AMF) and is presented in the aim of noise reduction of images corrupted with additive impulse noise. The proposed filter can preserve image details better than AMF while suppressing additive salt and pepper or impulse type noise. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Rosenfeld, A., Fuzzy digital topology. Inform. Control 40:76–87, 1979.

    Article  MATH  MathSciNet  Google Scholar 

  2. Abreu, E., Lightstone, M., Mitra, S. K., and Arakawa, K., A new efficient approach for the removal of impulse noise from highly corrupted images. IEEE Trans. Image Processing 5:1012–1025, 1996.

    Article  Google Scholar 

  3. Wang, J. H., Lin, L. D., and Yu, M. D., Histogram-based adaptive neuro-fuzzy filter for image restoration. Proc. Natl. Sci. Counc. ROC(A) 21:6556–572, 1997.

    Google Scholar 

  4. Kong, H., and Guan, L., A noise-exclusive adaptive filtering framework for removing impulse noise in digital image. IEEE Trans. Circuits and Systems. 45:3422–428, 1998.

    Article  Google Scholar 

  5. Russo, F., A fuzzy filter for images corrupted by impulse noise. IEEE Signal Processing 3:6168–170, 1996.

    Article  Google Scholar 

  6. Peng S., and Lucke, L., Fuzzy filtering for mixed noise removal during image processing, in Proc. 3rd IEEE Int. Conf. Fuzzy System, Orlando, FL, June 26–29, pp 89–93, 1994.

  7. Arakawa, K., Median filter based on fuzzy rules and its application to image restoration. Fuzzy Sets Syst 77:3–13, 1996.

    Article  Google Scholar 

  8. Lee, C. S., Kuo, Y. H., and Yu, P. T., Weighted fuzzy mean filters for image processing. Fuzzy Sets Syst 89:157–180, 1997.

    Article  Google Scholar 

  9. Zhang, S., and Karim, M. A., A new impulse detector for switching median filters. IEEE Signal Process. Lett 9:360–363, 2002.

    Article  Google Scholar 

  10. Gonzalez, R. C., and Woods, R. E., Digital image processing. Prentice Hall, New Jersey, pp. 241–243, 1992.

    Google Scholar 

  11. Toprak, A., G, and ler, I., Suppression of impulse noise in medical images with the use of fuzzy adaptive median filter. J Med Syst 30:465–471, 2006.

    Article  Google Scholar 

  12. Wang, J. H., and Lin, L. D., Histogram-based fuzzy filter for image restoration. IEEE Trans. on Systems, Man, and Cybernetics Part B: Cybernetics 32:2230–238, 2002 April.

    Article  Google Scholar 

  13. Wang, J. H., and Chiu, H. C., HAF: an adaptive fuzzy filter for restoring highly corrupted images by histogram estimation. Proc. Natl. Sci. Counc. ROC(A) 23:5630–643, 1999.

    Google Scholar 

  14. Toprak, A., and Güler, I., Impulse noise reduction in medical images with the use of switch mode fuzzy adaptive median filter. Digit Signal Process 17:711–723, 2007.

    Article  Google Scholar 

  15. Toprak, A., Özerdem, M. S., and Güler, İ., Suppression of impulse noise in MR images using artificial intelligent based neuro-fuzzy adaptive median filter. Digital Signal Processing, 2008, (in press).

Download references

Acknowledgment

This work has been supported by Gazi University Scientific and Research Project Fond (Projects No: 07/2006/-05 and 07/2007/-06).

Author information

Authors and Affiliations

  1. Department of Electronics and Computer Technology, Faculty of Technology, Gazi University, Ankara, Teknikokullar, 06500, Turkey

    İ. Güler, A. Demirhan & R. Karakış

  2. Department of Electronics, Dicle University, Diyarbakır, Turkey

    A. Toprak

Authors
  1. İ. Güler
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Toprak
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Demirhan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. Karakış
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to İ. Güler.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Güler, İ., Toprak, A., Demirhan, A. et al. MR Images Restoration With the Use of Fuzzy Filter Having Adaptive Membership Parameters. J Med Syst 32, 229–234 (2008). https://doi.org/10.1007/s10916-008-9127-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10916-008-9127-y

Keywords

Search

Navigation