Adaptive Liquid Crystal TV Based Joint Transform Correlator as Applied to Real-Time Pattern Recognition

Abstract

The primary goal of this research is to study a programmable joint- transform correlator (JTC) using liquid crystal television (LCTV) panels for adaptive realtime pattern recognition applications. The technique can improve the pattern recognition and identification technology that is of interest to the U.S. Army. The technique we studied is a real-time programmable electro-optical architecture. There are several reasons for selecting the optical technique over their digital and electronic counterparts, as follows: Optical technique is capable of handling a large space-bandwidth image; optical technique is capable of performing parallel operations; optics can perform massive interconnections; optical transformation can be operated at high speed, etc. By using the LCTV, the pattern under observation can be correlated with a large number of recallable image memories. In addition, the LCTV technique is rather simple and economical to operate. The LCTV-optical correlator, in principle, can be designed into a compact portable form for insitu application. Brief outlines of the major research findings and publications are provided in this report.... Joint transform correlator, Liquid crystal television, Correlator, Optical pattern recognition.

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Document Details

Document Type
Technical Report
Publication Date
Jan 05, 1993
Accession Number
ADA260724

Entities

People

  • Francis T. Yu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Charge Coupled Devices
  • Computational Science
  • Detectors
  • Digital Images
  • Electrical Engineering
  • Gray Scale
  • Image Processing
  • Information Processing
  • Information Science
  • Light Sources
  • Neural Networks
  • Optical Correlators
  • Optics
  • Pattern Recognition
  • Signal Processing
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML
  • Microelectronics
  • Space
  • Space - Space Objects