Optical Data Processing.

Abstract

Our research concerns optical data processing for missile guidance and target recognition. It uses pattern recognition techniques with an increasing use of knowledge base, inference machine and associative processor techniques. Our Year 2 work addresses devices (the liquid crystal television), Kalman filters, intrinsic features, iconic filters, and symbolic processors. These all represent quite novel optical processing concepts. Our work also concerns new architectures and concepts such as: relational graph processors, optical linear discriminant processors, model-based optical processors, hierarchical symbolic optical correlators, and optical associative processors. Keywords include: Optical data processing, pattern recognition, feature extraction, moments, Hartley transforms, relational graphs, distortion-invariant filters and discriminant functions.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA181417

Entities

People

  • David P. Casasent

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Artificial Intelligence
  • Classification
  • Computers
  • Correlators
  • Data Processing
  • Distortion
  • Engineering
  • Feature Extraction
  • Filtration
  • Image Processing
  • Kalman Filters
  • Modulators
  • Optical Correlators
  • Optical Processing
  • Pattern Recognition

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML