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Optical image preprocessing for neural network classifier system

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Parallel Problem Solving from Nature (PPSN 1990)

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References

  1. Preston K., Jr. Coherent Optical Computers. McGraw-Hill, New York, 1972.

    Google Scholar 

  2. Goodman J.W. Introduction to Fourier Optics. McGraw-Hill, New York, 1968.

    Google Scholar 

  3. Parygin V.N., Balakshii V.I. Optical Processing of Information. Moscow university, Moscow, 1987.

    Google Scholar 

  4. Wagner K., Psaltis D. Multilayer Optical Learning Networks. Appl. Opt.—1987.—26.—P.5061–5076.

    Google Scholar 

  5. Owechko Y., Dunning G.L., Marom E., Soffer B.H. Holographic Associative Memory with Nonlinearities in the Correlation Domain. Appl. Opt.—1987.—26.—P.1900–1910.

    Google Scholar 

  6. Fisher A.D., Lippincott W.L., Lee J.N. Optical Implementations of Associative Networks with Versatile Adaptive Learning Capabilities. Appl. Opt.—1987.—26. —P.5039–5054.

    Google Scholar 

  7. Manykin E.A., Surina I.I. Neural Networks and their Optical Implementation. Review. Moscow: CNIIatominform, 1989.—48 pp.

    Google Scholar 

  8. Kasdan H.L. Industrial Applications of Diffraction Pattern Sampling. Optical Engineering.—1979.—18.— P.496–503

    Google Scholar 

  9. Vasil'ev A.A., Casasent D., Kompanec I.N., Parfenov A.V. Space Light Modulators. Ed. I.N. Kompanec, Moscow: Radio and sviaz, 1987.

    Google Scholar 

  10. Dumarevskii Yu.D., Kovtonuk M.F., Savin A.I. Transformation of Images in Dielectric — Semiconductor Patterns. Moscow: Nauka, 1987.

    Google Scholar 

  11. Casasent D. Coherent Optical Pattern Recognition: A Review. Optical Engineering.—1985.—24.—P.26–32.

    Google Scholar 

  12. Lendaris G.G., Stanley G.L. Diffraction-Pattern Sampling for Automatic Pattern Recognition. Proc. IEEE.—1970, v.58(2), p.198–216.

    Google Scholar 

  13. Glover D.E. An optical Fourier / Electronic Neurocomputer Automated Inspection System. IEEE International Conference on Neural Networks, San-Diego, CA,1988, v.I, p. 569–576.

    Google Scholar 

  14. Troxel S.F., Rogers S.K., Kabrisky M. The Use of Neural Networks in PSRI Target Recognition. IEEE International Conference on Neural Networks, San-Diego, CA,1988, v.I, p. 593–600.

    Google Scholar 

  15. Clark D.F. An Optical Feature Extraction for Machine Vision Inspection. "Vision 87" Conference Procidings, Society of Manufacturing Engineers, Dearbom, ML, p.7–23 — 7–49.

    Google Scholar 

  16. Lippman R. An Introduction to Computing with Neural Networks. IEEE ASSP.—1987.—4.—P.4–22.

    Google Scholar 

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Hans-Paul Schwefel Reinhard Männer

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© 1991 Springer-Verlag Berlin Heidelberg

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Vedenov, A., Zurin, M., Levchenko, E., Myl'nikov, G., Timashev, A., Turygin, A. (1991). Optical image preprocessing for neural network classifier system. In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029765

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  • DOI: https://doi.org/10.1007/BFb0029765

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  • Print ISBN: 978-3-540-54148-6

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