Foundation of a Knowledge Representation System for Image Understanding.

Abstract

The basis of a knowledge representation system is presented that is able to recognize real-world objects from partial information delivered by human or mechanical 'experts', each of which is assumed to have its own information-processing tasks. The system deals directly not with the real world, but with the outputs of the experts' processing, and consists of three component parts, a descriptional component, a category component, and a functional component, in each of which knowledge is structured and accessed from general to specific, making it possible to access exactly as much information as is desired at an appropriate level of detail. Uncertainties are dealt with through the use of possibility theory, which also provides a means for approximate pattern matching. The knowledge representation language includes the use of trivalent quantifiers, whose semantics is explained and elaborated. Areal coordinate systems based on hexagons and squares are examined as possible alternatives to the standard use of bands in image processing. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1980
Accession Number
ADA095992

Entities

People

  • Lucia Vaina
  • Steven Cushing

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aircraft Carriers
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computations
  • Coordinate Systems
  • Data Compression
  • Fuzzy Sets
  • Image Processing
  • Information Processing
  • Language
  • Orientation (Direction)
  • Pattern Recognition
  • Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Vision.
  • Graph Algorithms and Convex Optimization.