Paper
12 October 1988 Multiple Image Recognition By Code Division Multiplexed Phase-Only Encoded Filters
Bahram Javidi, Souheil F. Odeh
Author Affiliations +
Proceedings Volume 0956, Piece Recognition and Image Processing; (1988) https://doi.org/10.1117/12.947692
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 functions. 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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi and Souheil F. Odeh "Multiple Image Recognition By Code Division Multiplexed Phase-Only Encoded Filters", Proc. SPIE 0956, Piece Recognition and Image Processing, (12 October 1988); https://doi.org/10.1117/12.947692
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KEYWORDS
Multiplexing

Phase only filters

Binary data

Electronic filtering

Signal to noise ratio

Image filtering

Pattern recognition

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