A Multi-Dimensional Grammar for Modeling Temporal-Spatial Images.

Abstract

Image processing deals generally with well-defined multi-dimensional data with the intention of transforming them into a more useable form. This thesis proposes a grammar which is useful in describing, analyzing, and designing image processing in multi-dimensional terms. The concept of an m-dimensional to n-dimensional dimensioned modeling process (m:ndMP) employed by the proposed grammar allows a systematic approach to modeling image processes. This type of modeling process is designed to be useful in manipulating and relating transformations of multi-dimensional data using networks of directed graphs. Inclusion of a confidence element in the grammar's notation allows inclusion of heuristics in describing image processing algorithms. The structured composition of m:ndMPs parallels that of formal computer programming languages to ease translation of image processing models into software implementations. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA151945

Entities

People

  • B. G. Litherland

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Grammars
  • High Level Languages
  • Image Processing
  • Information Science
  • Language
  • Linguistics
  • Programming Languages
  • Software Development
  • Standards
  • Visible Spectra

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Computer Vision.
  • Systems Analysis and Design