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28 March 1995 Iterative method for the design of SLM realizable minimum average correlation energy (MACE) filters
P. Karivaratha Rajan, R. Ramakrishnan
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Proceedings Volume 2490, Optical Pattern Recognition VI; (1995) https://doi.org/10.1117/12.205776
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States
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.
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P. Karivaratha Rajan and R. Ramakrishnan "Iterative method for the design of SLM realizable minimum average correlation energy (MACE) filters", Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); https://doi.org/10.1117/12.205776
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KEYWORDS
Spatial light modulators
Detection and tracking algorithms
Image filtering
Optical filters
Iterative methods
Algorithms
Optimal filtering
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