OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 41, Iss. 35 — Dec. 10, 2002
  • pp: 7416–7421

Adaptive binary joint transform correlator for image recognition

Feng Lei, Masahide Iton, and Toyohiko Yatagai  »View Author Affiliations


Applied Optics, Vol. 41, Issue 35, pp. 7416-7421 (2002)
http://dx.doi.org/10.1364/AO.41.007416


View Full Text Article

Enhanced HTML    Acrobat PDF (517 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Our research has shown that the autocorrelation peaks of a binary joint transform correlator are affected by input scenes’ backgrounds. An adaptive method is proposed to overcome this problem. The image of interest is first extracted from the background based on the position of the highest correlation peak of the input and reference images. The extracted image is then correlated with the reference to obtain the final correlation peak. Numerical simulations showed that the final autocorrelation peak is the maximum constant for a specified reference image.

© 2002 Optical Society of America

OCIS Codes
(070.2580) Fourier optics and signal processing : Paraxial wave optics
(070.2590) Fourier optics and signal processing : ABCD transforms
(070.4340) Fourier optics and signal processing : Nonlinear optical signal processing
(070.4550) Fourier optics and signal processing : Correlators
(070.4560) Fourier optics and signal processing : Data processing by optical means
(070.5010) Fourier optics and signal processing : Pattern recognition

History
Original Manuscript: December 21, 2001
Revised Manuscript: July 28, 2002
Published: December 10, 2002

Citation
Feng Lei, Masahide Iton, and Toyohiko Yatagai, "Adaptive binary joint transform correlator for image recognition," Appl. Opt. 41, 7416-7421 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-35-7416


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. C. S. Weaver, J. W. Goodman, “A technique for optically convolving two functions,” Appl. Opt. 5, 1248–1249 (1966). [CrossRef] [PubMed]
  2. B. Javidi, “Nonlinear joint power spectrum based on optical correlation,” Appl. Opt. 28, 2358–2367 (1989). [CrossRef] [PubMed]
  3. B. Javidi, J. Wang, Q. Tang, “Multiple-object binary joint transform correlation using multiple-level threshold crossing,” Appl. Opt. 30, 4234–4244 (1991). [CrossRef] [PubMed]
  4. W. B. Hahn, D. L. Flannery, “Design elements of binary joint transform correlation and selected optimization techniques,” Opt. Eng. 31, 896–905 (1992). [CrossRef]
  5. M. S. Alam, “Fractional power fringe-adjusted joint transform correlation,” Opt. Eng. 34, 3208–3215 (1995). [CrossRef]
  6. H. J. Su, M. A. Karim, “Performance improvement of a phase-shifting joint transform correlator by use of phase-iterative techniques,” Appl. Opt. 37, 3639–3642 (1998). [CrossRef]
  7. L. P. Yaroslavsky, E. Marom, “Nonlinearity optimization in nonlinear joint transform correlators,” Appl. Opt. 36, 4816–4822 (1997). [CrossRef] [PubMed]
  8. B. Javidi, J. Li, A. H. Fazlollahi, J. Horner, “Binary nonlinear joint transform correlator performance with different thresholding methods under unknown illumination conditions,” Appl. Opt. 34, 886–896 (1995). [CrossRef] [PubMed]
  9. F. Lei, H. Huang, N. Yoshikawa, M. Iton, H. Yatagai, “Performance of binary joint transform correlator using linear combination threshold function,” Opt. Commun. 169, 207–221 (1999). [CrossRef]
  10. Please reference http://www.alacron.com/ for details.

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.

Figures

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

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited