Skip to main content
Springer Nature Link
Log in

Improving the Discrimination Capability with an Adaptive Synthetic Discriminant Function Filter

  • Conference paper
Pattern Recognition and Image Analysis (IbPRIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3523))

Included in the following conference series:

Abstract

In this paper a new adaptive correlation filter based on synthetic discriminant functions (SDF) for reliable pattern recognition is proposed. The information about an object to be recognized and false objects as well as background to be rejected is used in an iterative procedure to design the adaptive correlation filter with a given discrimination capability. Computer simulation results obtained with the proposed filter in test scenes are compared with those of various correlation filters in terms of discrimination capability.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Vander Lugt, A.B.: Signal detection by complex filtering. IEEE Trans. Inf. Theory 10, 135–139 (1964)

    Google Scholar 

  2. Horner, J.L., Gianino, P.D.: Phase-only matched filtering. Applied Optics 23, 812–816 (1984)

    Article  Google Scholar 

  3. Casasent, D.: Unified synthetic discriminant function computational formulation. Applied Optics 23, 1620–1627 (1984)

    Article  Google Scholar 

  4. Vijaya Kumar, B.V.K.: Tutorial survey of composite filter designs for optical correlators. Applied Optics 31(23), 4773–4801 (1992)

    Article  Google Scholar 

  5. Vijaya Kumar, B.V.K., Hassebrook, L.: Performance measures for correlation filters. Applied Optics 29(20), 2997–3006 (1990)

    Article  Google Scholar 

  6. Yaroslavsky, L.P.: The theory of optimal methods for localization of objects in pictures. In: Wolf, E. (ed.) Progress in Optics XXXII, pp. 145–201. Elsevier, Amsterdam (1993)

    Chapter  Google Scholar 

  7. Kober, V., Yaroslavsky, L.P., Campos, J., Yzuel, M.J.: Optimal filter approximation by means of a phase only filter with quantization. Optics Letters 19(13), 978–980 (1994)

    Article  Google Scholar 

  8. Javidi, B., Wang, J.: Design of filters to detect a noisy target in nonoverlapping background noise. Journal OSA (A) 11, 2604–2612 (1994)

    Article  Google Scholar 

  9. Kober, V., Campos, J.: Accuracy of location measurement of a noisy target in a nonoverlapping background. Journal OSA (A) 13, 1653–1666 (1996)

    Article  Google Scholar 

  10. Kober, V., Ovseyevich, I.A.: Phase-only filter with improved filter efficiency and correlation discrimination. Pattern Recognition and Image Analysis 10(4), 514–519 (2000)

    Google Scholar 

  11. Mahalanobis, A., Vijaya Kumar, B.V.K., Casasent, D.: Minimum average correlation filters. Applied Optics 26, 3633–3640 (1987)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Sciences, Division of Applied Physics, CICESE, Ensenada, B.C, 22860, Mexico

    J. Ángel González-Fraga, Víctor H. Díaz-Ramírez & Vitaly Kober

  2. Optics Department, Division of Applied Physics, CICESE, Ensenada, B.C, 22860, Mexico

    Josué Álvarez-Borrego

Authors
  1. J. Ángel González-Fraga
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Víctor H. Díaz-Ramírez
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vitaly Kober
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Josué Álvarez-Borrego
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Instituto Superior Técnico & Instituto de Sistemas e Robótica,, 1049-001, Lisboa, Portugal

    Jorge S. Marques

  2. ETSI Informática y e Telecomunicación, University of Granada, 18071, Granada, Spain

    Nicolás Pérez de la Blanca

  3. Instituto Superior Técnico, CERENA-Centro de Recursos Naturais e Ambiente, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    Pedro Pina

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

González-Fraga, J.Á., Díaz-Ramírez, V.H., Kober, V., Álvarez-Borrego, J. (2005). Improving the Discrimination Capability with an Adaptive Synthetic Discriminant Function Filter. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_11

Download citation

  • DOI: https://doi.org/10.1007/11492542_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26154-4

  • Online ISBN: 978-3-540-32238-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics