Multiple Image Recognition And Classification By A Code Division Multiplexed Hybrid Optical Processor

Bahram Javidi

doi:10.1117/12.947800

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8 February 1989 Multiple Image Recognition And Classification By A Code Division Multiplexed Hybrid Optical Processor

Bahram Javidi

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Proceedings Volume 0960, Real-Time Signal Processing for Industrial Applications; (1989) https://doi.org/10.1117/12.947800
Event: SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, 1988, Dearborn, MI, United States

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.

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Bahram Javidi "Multiple Image Recognition And Classification By A Code Division Multiplexed Hybrid Optical Processor", Proc. SPIE 0960, Real-Time Signal Processing for Industrial Applications, (8 February 1989); https://doi.org/10.1117/12.947800

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