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 real-time 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.

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Document Details

Document Type
Technical Report
Publication Date
May 23, 1991
Accession Number
ADA238576

Entities

People

  • Francis T. Yu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Vision
  • Detectors
  • Electrical Engineering
  • Image Processing
  • Information Processing
  • Information Science
  • Multitarget Tracking
  • Neural Networks
  • Optical Correlators
  • Optics
  • Parallel Computing
  • Pattern Recognition
  • Self Organizing Systems
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

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