
Proceedings Paper
Performance of the pure phase-only correlation method for pattern recognitionFormat | Member Price | Non-Member Price |
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Paper Abstract
The implementation of nonlinear procedures in optical
inforraation processing systems is the recently studied proruising step
in the optical correlators development . Optical correlators with
phase-only filters and binary phase-only filters belong to the class
of such a nonlinear systems with the nonlinearity in the Fourier
transfornt plane.
The generalization of nonlinear matched filtering such that
both the filter transfer function and the Fourier transform of the
input objec are processed nonlinearly are recently under
investigation. Pattern recognition by using phase nomation
only is the particular case of nonlinear matched filtering. As a
result of the nonlinear procedure one keeps only phase information
about both the target and the input scene, and the pure phase-only
correlation is realized. The discrimination capability of the
phase-only correlation method is enhanced, even in comparison with the
results obtained in the case of the phase-only filtering, and the
autocorrelation signal is the diffraction limited delta function.
Paper Details
Date Published: 27 December 1990
PDF: 12 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23416
Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)
PDF: 12 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23416
Show Author Affiliations
Katarzyna Chalasinska-Macukow, Univ. of Warsaw (Poland)
F. Turon, Autonomous Univ. of Barcelona (Spain)
F. Turon, Autonomous Univ. of Barcelona (Spain)
Maria Josefa Yzuel, Autonomous Univ. of Barcelona (Spain)
Juan Carlos Campos Rubio, Univ. de Barcelona (Brazil)
Juan Carlos Campos Rubio, Univ. de Barcelona (Brazil)
Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)
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