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Proceedings Paper

Iterative method for the design of SLM realizable minimum average correlation energy (MACE) filters
Author(s): P. Karivaratha Rajan; R. Ramakrishnan
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Paper Abstract

Design of optical pattern recognition filters taking into account the nonideal characteristics of the spatial light modulators on which the filters are implemented is an important research problem. In this paper, an iterative method is developed for the design of SLM constrained minimum average correlation energy (MACE) filters. The algorithm uses a relaxation algorithm in conjunction with Juday's minimum euclidean distance (MED) mapping technique in an iterative manner. The performance of the filter designed using this method was evaluated using computer simulations and the results are compared with a constrained MACE filter designed using a software based on a simulated annealing technique. The new software requires much less computer time than the simulated annealing based software providing comparable response. The time taken by the new algorithm is more than that for the MED mapped design; but, the new algorithm provides less deviation from the specified response for training images than the MED mapped design.

Paper Details

Date Published: 28 March 1995
PDF: 10 pages
Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); doi: 10.1117/12.205776
Show Author Affiliations
P. Karivaratha Rajan, Tennessee Technological Univ. (United States)
R. Ramakrishnan, Tennessee Technological Univ. (United States)


Published in SPIE Proceedings Vol. 2490:
Optical Pattern Recognition VI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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