The Optimal Construction of Synthetic Discriminant Functions (SDF'S).

Abstract

Synthetic discriminant functions (SDF's) for optical matched filters have potential use for pattern recognition. Several digital computer programs were written to compute SDF's, subject to certain constraints, and to compare the resulting SDF's to each other. For example, one of the programs chooses the four best from 36 tank images and manufactures an SDF from them. A guiding principle throughout this work was that objective numerical criteria be applied to determine what is a good or optimal SDF. There are many interesting and important questions which remain to be investigated in this area of research. They are discussed in this report.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1986
Accession Number
ADA168301

Entities

People

  • Robert R. Kallman

Organizations

  • University of North Texas

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Character Recognition
  • Classification
  • Computer Programs
  • Computers
  • Construction
  • Digital Computers
  • Filters
  • Filtration
  • Identification
  • Image Processing
  • Matched Filters
  • Pattern Recognition
  • Processing Equipment
  • Recognition
  • Security
  • Terminal Guidance

Readers

  • Computer Vision.
  • Military Mobilization and Reserve Forces Studies.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms