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- W1657379423 abstract "The synthesis of a new category of matched spatial filters for distortion invariant pattern recognition is considered. These filters produce sharp easily detected output correlation peaks with controlled peak values. Since these filters minimize the average correlation plane energy as the first step in filter synthesis, we refer to them as minimum average correlation energy (MACE) filters. Unlike previous correlation filters, the ad-hoc selection of filter synthesis parameters and preprocessing are not required. The MACE filter also demonstrates excellent distortion tolerance. The noise and distortion tolerance of the MACE filter are evaluated by simulation. The use of MACE filters in symbolic and rule-based processors for target recognition is introduced. This involves the concepts of: filters for image partitions, techniques for rule development, symbolic substitution and manipulation, error correction via associative processing, and on-line filter adaptation. Simulation results are presented and discussed." @default.
- W1657379423 created "2016-06-24" @default.
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- W1657379423 date "1987-01-01" @default.
- W1657379423 modified "2023-09-27" @default.
- W1657379423 title "New correlation filters for symbolic rule-based pattern recognition" @default.
- W1657379423 hasPublicationYear "1987" @default.
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