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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 11 — Apr. 10, 1999
  • pp: 2182–2188

Morphologically preprocessed joint transform correlation

Shuqun Zhang and Mohammad A. Karim  »View Author Affiliations


Applied Optics, Vol. 38, Issue 11, pp. 2182-2188 (1999)
http://dx.doi.org/10.1364/AO.38.002182


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Abstract

A morphologically preprocessed joint transform correlation is proposed that combines the techniques of morphological filtering and joint transform correlation. We improve on the performance of a joint transform correlator by eliminating noise with morphological preprocessing and by performing edge detection of input images. Computer simulation results show that the corresponding system contributes to a better discrimination capability than gradient operator-based and wavelet-based preprocessed joint transform correlation.

© 1999 Optical Society of America

OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(070.4560) Fourier optics and signal processing : Data processing by optical means
(070.4690) Fourier optics and signal processing : Morphological transformations
(100.3010) Image processing : Image reconstruction techniques
(100.5010) Image processing : Pattern recognition
(100.7410) Image processing : Wavelets

History
Original Manuscript: May 13, 1998
Revised Manuscript: October 5, 1998
Published: April 10, 1999

Citation
Shuqun Zhang and Mohammad A. Karim, "Morphologically preprocessed joint transform correlation," Appl. Opt. 38, 2182-2188 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-11-2182


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References

  1. C. S. Weaver, J. W. Goodman, “Technique for optically convolving two functions,” Appl. Opt. 5, 1248–1249 (1966). [CrossRef] [PubMed]
  2. M. S. Alam, O. Perez, M. A. Karim, “Preprocessed multiobject joint transform correlator,” Appl. Opt. 32, 3102–3107 (1993). [CrossRef] [PubMed]
  3. B. Javidi, J. Wang, “Binary nonlinear joint transform correlation with median and subset median thresholding,” Appl. Opt. 30, 967–976 (1991). [CrossRef] [PubMed]
  4. D. Feng, H. Zhao, S. Xia, “Amplitude-modulated JTC for improving correlation discrimination,” Opt. Commun. 86, 260–264 (1991). [CrossRef]
  5. A. Carnicer, S. Vallmitjana, I. Juvells, “Correlation postprocessing-based method for the detection of defocused images,” Appl. Opt. 20, 4807–4811 (1997). [CrossRef]
  6. X. J. Lu, A. Katz, E. G. Kanterakis, N. P. Caviris, “Joint transform correlator that uses wavelet transforms,” Opt. Lett. 17, 1700–1702 (1992). [CrossRef] [PubMed]
  7. P. S. Erbach, D. A. Gregory, X. Yang, “Optical wavelet transform by the phase-only joint transform correlator,” Appl. Opt. 35, 3117–3126 (1996). [CrossRef] [PubMed]
  8. W. Wang, G. Jin, Y. Yan, M. Wu, “Joint wavelet-transform correlator for image feature extraction,” Appl. Opt. 34, 370–376 (1995). [CrossRef] [PubMed]
  9. S. Zhong, S. Liu, X. Zhang, C. Li, “Joint wavelet representation correlator for pattern recognition,” Appl. Opt. 37, 374–379 (1998). [CrossRef]
  10. R. Tripathi, K. Singh, “Pattern discrimination using a bank of wavelet filters in a joint transform correlator,” Opt. Eng. 37, 32–538 (1998). [CrossRef]
  11. J. Serra, Image Analysis and Mathematical Morphology (Academic, New York, 1982).
  12. P. Maragos, R. W. Schafer, “Morphological systems for multidimensional signal processing,” Proc. IEEE 78, 690–710 (1990). [CrossRef]
  13. Y. Li, A. Kostrzewski, D. H. Kim, G. Eichmann, “Compact parallel real-time programmable optical morphological image processor,” Opt. Lett. 14, 981–983 (1989). [CrossRef] [PubMed]
  14. E. C. Botha, D. Casasent, “Optical laboratory morphological inspection processor,” Appl. Opt. 28, 5342–5350 (1989). [CrossRef] [PubMed]
  15. A. Fedor, M. O. Freeman, “Optical multiscale morphological processor using a complex-valued kernel,” Appl. Opt. 31, 4042–4050 (1992). [CrossRef] [PubMed]
  16. J. N. Mait, D. W. Prather, R. A. Athale, “Acousto-optic processing with electronic image feedback for morphological filtering,” Appl. Opt. 31, 5688–5698 (1992). [CrossRef] [PubMed]
  17. J. Garcia, T. Szoplik, C. Ferreira, “Optoelectronic morphological image processor,” Opt. Lett. 18, 1952–1954 (1993). [CrossRef] [PubMed]
  18. M. Gedziorowski, J. Garcia, “Programmable optical digital processor for rank order and morphological filtering,” Opt. Commun. 119, 207–217 (1995). [CrossRef]
  19. D. Casasent, E. Botha, “Optical symbolic substitution for morphological transformations,” Appl. Opt. 27, 3806–3810 (1988). [CrossRef] [PubMed]
  20. P. Garcia-Martinex, D. Mas, J. Garcia, C. Ferreira, “Nonlinear morphological correlation: optoelectronic implementation,” Appl. Opt. 37, 2112–2118 (1998). [CrossRef]

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