OSA's Digital Library

Applied Optics

Applied Optics


  • Vol. 41, Iss. 17 — Jun. 10, 2002
  • pp: 3453–3460

Reduction of the correlation sensitivity to the changes of the input illumination by a post processing based on the correlation statistics

Christophe Minetti, Frank Dubois, and Jean-Claude Legros  »View Author Affiliations

Applied Optics, Vol. 41, Issue 17, pp. 3453-3460 (2002)

View Full Text Article

Enhanced HTML    Acrobat PDF (939 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



Linear-correlation amplitude changes when the intensity level of the input image is modified. As recognition is often based on the correlation-peak level, a change of the input illumination may result in a false recognition. We propose an illumination-change compensation by a post processing of the correlation distribution that is based on statistical measures of the correlation histograms. The theoretical background and simulation results are provided in the frame of an actual application in biology.

© 2002 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition

Original Manuscript: August 23, 2001
Revised Manuscript: January 4, 2002
Published: June 10, 2002

Christophe Minetti, Frank Dubois, and Jean-Claude Legros, "Reduction of the correlation sensitivity to the changes of the input illumination by a post processing based on the correlation statistics," Appl. Opt. 41, 3453-3460 (2002)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. A. B. VanderLugt, “Signal detection by complex spatial filtering,” IEEE Trans. Inf. Theory, IT-10, 139–145 (1964).
  2. A. Mahalanobis, B. V. K. Vijaya Kumar, D. Casasent, “Minimum average correlation energy filters,” Appl. Opt. 26, 3633–3640 (1987). [CrossRef] [PubMed]
  3. B. V. K. Vijaya Kumar, “Tutorial survey of composite filter designs for optical correlators,” Appl. Opt. 31, 4773–4801 (1992). [CrossRef]
  4. B. Javidi, “Generalization of the linear matched filter concept to nonlinear matched filters,” Appl. Opt. 29, 1215–1224, (1990). [CrossRef] [PubMed]
  5. B. Javidi, J. Wang, “Limitation of the classical definition of the correlation signal-to-noise ratio in optical pattern recognition with disjoint signal and scene noise.” Appl. Opt. 31, 6826–6829 (1992). [CrossRef] [PubMed]
  6. Ph. Réfrégier, B. Javidi, G. Zhang, “Minimum mean-square-error filter for pattern recognition with spatially disjoint signal and scene noise,” Opt. Lett. 18, 1453–1455 (1993). [CrossRef] [PubMed]
  7. B. Javidi, F. Parchekani, G. Zhang, “Minimum-mean-square-error filters for detecting a noisy target in background noise,” Appl. Opt. 35, 6964–6975 (1996). [CrossRef] [PubMed]
  8. B. Javidi, J. Wang, “Optimum filter for detection of a target in nonoverlapping scene noise,” Appl. Opt. 33, 4454–4458 (1994). [CrossRef] [PubMed]
  9. H. Sjöberg, B. Noharet, “Distortion invariant filter for nonoverlapping noise,” Appl. Opt. 37, 6922–6930 (1998). [CrossRef]
  10. C. Minetti, F. Dubois, “Reduction in correlation sensitivity to background clutter by the automatic spatial frequency selection algorithm,” Appl. Opt. 35, 1900–1903 (1996). [CrossRef] [PubMed]
  11. H. Sjöberg, F. Goudail, Ph. Réfrégier, “Optimal algorithms for target location in nonhomogeneous binary images,” J. Opt. Soc. Am. A 15, 2976–2985 (1998). [CrossRef]
  12. P. Garcia-Martinez, C. Ferreira, D. Mendlovic, “Optical non-linear correlation based on nonuniform subband decomposition,” J. Opt. A: Pure Appl. Opt 1, 719–724 (1999). [CrossRef]
  13. P. Garcia-Martinez, H. H. Arsenault, S. Roy, “Optical implementation of the sliced orthogonal nonlinear generalized correlation for images degraded by nonoverlapping background noise,” Opt. Commun, 173, 185–193 (2000). [CrossRef]
  14. P. Garcia-Martinez, C. Ferreira, J. Garcia, H. Arsenault, “Non-linear rotation-invariant pattern recognition by use ofthe optical morphological correlation,” Appl. Opt. 39, 776–781 (2000). [CrossRef]
  15. A Shemer, D. Mendlovic, G. Shabtay, P. Garcia-Martinez, J. Garcia, “Modified morphological correlation based on bit-map representations,” Appl. Opt. 38, 781–787 (1999). [CrossRef]
  16. S. Zhang, M. A. Karim, “Illumination-invariant recognition with joint-transform-correlator-based morphological correlation” Appl. Opt. 38, 7228–7237 (1999). [CrossRef]
  17. F. M. Dickey, L. A. Romero, “Normalized correlation for pattern recognition,” Opt. Lett. 16, 1186–1188 (1991). [CrossRef] [PubMed]
  18. H. H. Arsenault, D. Lefebvre, “Homomorphic cameo filter for pattern recognition that is invariant with changes in illumination,” Opt. Lett. 25, 1567–1569 (2000). [CrossRef]
  19. F. Dubois, “Automatic spatial frequency selection algorithm for pattern recognition by correlation”, Appl. Opt. 32, 4365–4371 (1993). [CrossRef] [PubMed]
  20. A. Papoulis, “Probability, Random Variable and Stochastic Processes, McGraw-Hill, 126–127 (1965).
  21. A. Mahalanobis, B. V. K. Vijaya Kumar, Song, S. R. F. Sims, J. F. Epperson, “Unconstrained correlation filters,” Appl. Opt. 33, 3751–3759 (1994). [CrossRef] [PubMed]
  22. A. Mahalanobis, B.V. K. Vijaya Kumar, “Optimality of the maximum average correlation height filter for detection of targets in noise,” Opt. Eng. 36, 2642–2648 (1997). [CrossRef]
  23. J. Karlholm, “Generalization of the maximum average correlation height filter,” J. Opt. Soc. Am. A 17, 1399–1406, [2000] [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


Fig. 1 Fig. 2 Fig. 3
Fig. 4 Fig. 5

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited