Skip to main content

Scale Invariant Target Recognition in Non-uniform Illuminated and Noisy Scene

  • Conference paper
  • First Online:
  • 1052 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 139))

Abstract

A new method is presented for scale invariant target recognition under non-uniform illumination and noisy conditions. Both overlapping additive noise and nonoverlapping background noise are considered. The method includes two steps. First, the input scene is preprocessed with estimated illumination function. Then an optimum correlation filter is designed based on modified Wiener filter(WF) model, which the reference term of WF’s transfer function is synthesized using the mean of training images . Simulation results verify the effectiveness of the proposed idea in terms of tolerance to scale distortion in presence of non-uniform illumination and noise.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Vijaya Kumar, B.V.K., Mahalanobis, A., Juday, R.D.: Correlation pattern recognition. Cambridge University Press, New York (2005)

    Book  MATH  Google Scholar 

  2. Diaz-Ramirez, V.H., Kober, V.: Target recognition under nonuniform illumination Conditions. Appl. Opt. 48, 1408–1418 (2009)

    Article  Google Scholar 

  3. Arsenault, H.H., Lefebvre, D.: Homomorphic cameo filter for pattern recognition. Opt. Lett. 25, 1567–1569 (2000)

    Article  Google Scholar 

  4. Garcia-Martinez, P., Tejera, M., Ferreira, C., Lefebvre, D., Arsenault, H.H.: Optical implementation of the weighted sliced orthogonal nonlinear generalized correlation for nonuniform illumination conditions. Appl. Opt. 41, 6867–6874 (2002)

    Article  Google Scholar 

  5. Javidi, B., Wang, J.: Optimum filter for detecting a target in multiplicative noise and additive noise. J. Opt. Soc. Am. A11, 2604–2612 (1997)

    Google Scholar 

  6. Martinez-Diaz, S., Kober, V.: Nonlinear sysnthetic discriminant function filters for illumination- invariant pattern recognition. Optical Engineering 47(6), 067201-1–067201-9 (2008)

    Article  Google Scholar 

  7. Zhao, Y., Bai, B.: Target recognition in non-uniform illuminated and noisy scene. In: Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems. ICIS 2010, vol. 2(5658310), pp. 467–470 (2010)

    Google Scholar 

  8. Zheng, Q., Chellappa, R.: Estimation of illuminant direction, albedo, and shape from Shading. IEEE Trans. Pattern Anal. 13, 680–702 (1991)

    Article  Google Scholar 

  9. Marom, E., Inbar, H.: New interpretations of Wiener filters for image Recognition. J. Opt. Soc. Am. A13, 1325–1330 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Zhao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhao, Y., Bai, B. (2012). Scale Invariant Target Recognition in Non-uniform Illuminated and Noisy Scene. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.1. Lecture Notes in Electrical Engineering, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27287-5_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27287-5_32

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27286-8

  • Online ISBN: 978-3-642-27287-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics