OSA's Digital Library

Applied Optics

Applied Optics


  • Vol. 38, Iss. 5 — Feb. 10, 1999
  • pp: 847–854

Optical implementation of cellular neural networks based on bias and joint correlation

Shuqun Zhang and Mohammad A. Karim  »View Author Affiliations

Applied Optics, Vol. 38, Issue 5, pp. 847-854 (1999)

View Full Text Article

Enhanced HTML    Acrobat PDF (167 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



A new bias method for the optical implementation of cellular neural networks is proposed to reduce electronic precalculation and increase processing speed. A multiple-object joint transform correlator is then used to realize the summation of multiple correlations resulting from the bias method. Compared with other optical systems for cellular neural networks, the proposed method offers the advantages of higher processing speed, easy implementation, and robustness. Computer simulations of the optical cellular neural networks for edge detection and corner and horizontal line extraction are also presented.

© 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
(100.5010) Image processing : Pattern recognition
(170.1530) Medical optics and biotechnology : Cell analysis
(200.1130) Optics in computing : Algebraic optical processing
(200.4260) Optics in computing : Neural networks
(200.4690) Optics in computing : Morphological transformations
(200.4700) Optics in computing : Optical neural systems
(200.4860) Optics in computing : Optical vector-matrix systems

Original Manuscript: May 13, 1998
Revised Manuscript: October 9, 1998
Published: February 10, 1999

Shuqun Zhang and Mohammad A. Karim, "Optical implementation of cellular neural networks based on bias and joint correlation," Appl. Opt. 38, 847-854 (1999)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. N. H. Farhat, D. Psaltis, A. Prata, E. Paek, “Optical implementation of the hopfield mode,” Appl. Opt. 24, 1469–1475 (1985). [CrossRef]
  2. Y. Owechko, G. J. Dunning, E. Marom, B. H. Soffer, “Holographic associative memory with nonlinearities in the correlation domain,” Appl. Opt. 26, 1900–1910 (1987). [CrossRef] [PubMed]
  3. C. C. Guest, R. Tekolste, “Designs and devices for optical bidirectional associative memories,” Appl. Opt. 26, 5055–5060 (1987). [CrossRef] [PubMed]
  4. A. P. Ittycheriah, J. F. Walkup, T. F. Krile, S. L. Lim, “Outer product processor using polarization encoding,” Appl. Opt. 29, 275–283 (1990). [CrossRef] [PubMed]
  5. A. J. David, B. E. A. Saleh, “Optical implementation of the Hopfield algorithm using correlation,” Appl. Opt. 29, 1063–1064 (1990). [CrossRef] [PubMed]
  6. X.-M. Wang, G.-G. Mu, “Optical neural network with bipolar neural states,” Appl. Opt. 31, 4712–4719 (1992). [CrossRef] [PubMed]
  7. A. A. Rizvi, M. S. Zubairy, “Implementation of associative memory using grating structures,” Appl. Opt. 33, 3642–3645 (1994). [CrossRef] [PubMed]
  8. Y. Hayasaki, I. Tohyama, T. Yatagai, M. Mori, S. Ishihara, “Reversal-input superposing technique for all-optical neural networks,” Appl. Opt. 33, 1477–1484 (1994). [CrossRef] [PubMed]
  9. B. Javidi, J. Li, Q. Tang, “Optical implementation of neural networks for face recognition by the use of nonlinear joint transform correlator,” Appl. Opt. 34, 3950–3962 (1995). [CrossRef] [PubMed]
  10. L. O. Chua, L. Yang, “Cellular neural networks: theory,” IEEE Trans. Circuits Syst. 35, 1257–1272 (1988). [CrossRef]
  11. L. O. Chua, L. Yang, “Cellular neural networks: applications,” IEEE Trans. Circuits Syst. 35, 1273–1290 (1988). [CrossRef]
  12. N. Fruehauf, E. Lueder, G. Bader, “Fourier optical realization of cellular neural networks,” IEEE Trans. Circuits Syst. II 40, 156–161 (1993). [CrossRef]
  13. N. K. Gupta, H. Ogawa, “Optoelectronic architecture for cellular neural networks based on a new bias method and spatial coding scheme,” Opt. Commun. 138, 11–15 (1997). [CrossRef]
  14. C. S. Weaver, J. W. Goodman, “Technique for optically convolving two functions,” Appl. Opt. 5, 1248–1249 (1966). [CrossRef] [PubMed]
  15. F. Cheng, P. Andres, F. T. S. Yu, “Removal of intra-class associations in joint transform power spectrum,” Opt. Commun. 99, 7–12 (1993). [CrossRef]
  16. M. Deutsch, J. Garcia, D. Mendlovic, “Multichannel single-output color pattern recognition by use of a joint-transform correlator,” Appl. Opt. 35, 6976–6982 (1996). [CrossRef] [PubMed]
  17. G. Lu, Z. Zhang, S. Wu, F. T. S. Yu, “Implementation of a non-zero-order joint-transform correlator by use of a phase-shifting technique,” Appl. Opt. 36, 470–483 (1997). [CrossRef] [PubMed]
  18. C.-T. Li, S. Yin, F. T. S. Yu, “Nonzero-order joint transform correlator,” Opt. Eng. 37, 58–65 (1998). [CrossRef]
  19. J. M. Florence, “Joint-transform correlator systems using deformable-mirror spatial light modulators,” Opt. Lett. 14, 341–343 (1989). [CrossRef] [PubMed]
  20. G. S. Pati, K. Singh, “Experimental and simulation studies on performance of binary and gray-valued joint transform correlators under poor illumination conditions and nonoverlapping background noise,” Opt. Eng. 36, 1918–1929 (1997). [CrossRef]
  21. F. T. S. Yu, S. Jutamulia, T. W. Lin, D. A. Gregory, “Adaptive real-time pattern recognition using a liquid crystal TV based joint transform correlator,” Appl. Opt. 26, 1370–1372 (1987). [CrossRef] [PubMed]
  22. J. S. Kane, M. J. Paquin, “POPART: partial optical implementation of adaptive resonance theory 2,” IEEE Trans. Neural Networks 4, 695–702 (1993). [CrossRef]
  23. L. Guibert, Y. Petillot, J.-L. de Bougrenet de la Tocnaye, “Real-time demonstration of an on-board nonlinear joint transform correlator system,” Opt. Eng. 36, 820–824 (1997). [CrossRef]
  24. T. J. Grycewicz, “Experimental demonstration of a binary single-lens joint transform correlator using chirp-modulated inputs,” Opt. Eng. 36, 814–819 (1997). [CrossRef]
  25. J. Li, J. Hu, Y. Wang, “Experimental investigation of a real-time nonlinear joint transform correlator,” Opt. Eng. 33, 3302–3306 (1994). [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.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited