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Proceedings Paper

Multiple Image Recognition And Classification By A Code Division Multiplexed Hybrid Optical Processor
Author(s): Bahram Javidi
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Paper Abstract

A multiobject shift-invariant pattern recognition system using code division multiplexed binary phase-only correlation is presented. The system computes the binary correlation between an input pattern and a generalized set of pattern functians. This technique uses a filter which consists of a set of binary phase-only code division multiplexed reference pattern functions. There are many advantages in binarizing the filter function. Binary spatial light modulators (SLMs) have been developed that work well in a binary phase-only mode and can be used to synthesize the spatial filters of this type. Binarization also permits the recording of filters of images with larger samples on currently available binary SLMs that have a limited number of pixels. The functions in the reference set may correspond to either different objects or different variations of the object under study. Computer simulations of the correlator are used to study the performance of the pattern recognition system. The correlation signal-to-noise ratio (SNR) and the ratio of the correlation peak intensity to the maximum correlation sidelobe intensity are evaluated as the criteria for the system performance.

Paper Details

Date Published: 8 February 1989
Proc. SPIE 0960, Real-Time Signal Processing for Industrial Applications, (8 February 1989); doi: 10.1117/12.947800
Show Author Affiliations
Bahram Javidi, University of Connecticut (United States)

Published in SPIE Proceedings Vol. 0960:
Real-Time Signal Processing for Industrial Applications
Bahram Javidi, Editor(s)

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