Multimatched filtering using a microlens array for an optical-neural pattern recognition system
| Autor: | Atsushi Akiba, Shun-ichi Kamemaru, Teruhisa Mochizuki, Masahiro Agu |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Microlens
Spatial filter Computer science business.industry Materials Science (miscellaneous) Planar array Feature extraction Image processing Filter (signal processing) Industrial and Manufacturing Engineering symbols.namesake Fourier transform Optics Parallel processing (DSP implementation) Pattern recognition (psychology) symbols Feature (machine learning) Focal length Business and International Management business |
| Zdroj: | Applied optics. 29(28) |
| ISSN: | 1559-128X |
| Popis: | In the optical-neural recognition system proposed for flexible parallel information processing, a planar microlens array is used to form simultaneously many identical Fourier transforms of an input pattern; from each transform the feature extraction of the input pattern is performed in parallel through optical correlations with memorized standard spatial filters. In this paper, it is experimentally shown that the multimatched filtering system, as the optical feature extracting part of the proposed system, can be composed of a planar array of graded index microlenses of 1.05-mm diameter and 2.6-mm focal length. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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