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Proceedings Paper

Design of SLM-constrained MACE filters using simulated annealing optimization
Author(s): Ajmal Khan; P. Karivaratha Rajan
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Paper Abstract

Among the available filters for pattern recognition, the MACE filter produces the sharpest peak with very small sidelobes. However, when these filters are implemented using practical spatial light modulators (SLMs), because of the constrained nature of the amplitude and phase modulation characteristics of the SLM, the implementation is no longer optimal. The resulting filter response does not produce high accuracy in the recognition of the test images. In this paper, this deterioration in response is overcome by designing constrained MACE filters such that the filter is allowed to have only those values of phase-amplitude combination that can be implemented on a specified SLM. The design is carried out using simulated annealing optimization technique. The algorithm developed and the results obtained on computer simulations of the designed filters are presented.

Paper Details

Date Published: 25 October 1993
PDF: 9 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160297
Show Author Affiliations
Ajmal Khan, Tennessee Technological Univ. (United States)
P. Karivaratha Rajan, Tennessee Technological Univ. (United States)

Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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