Parallel Processing on Transputer Arrays for the Recognition of Objects in Infra-Red Images

Abstract

This Memorandum describes work done in mapping image processing algorithms on to transputer arrays. Object classification based on the autocorrelation function has been applied to infrared images. Using the OCCAM programming language, parallel processing techniques have been developed to make use of the concurrency available for communication and calculation. The results for this specific problem are assessed and conclusions drawn on the use of transputers and OCCAM for parallel processing.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201603

Entities

People

  • S. A. Baker

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Autocorrelation
  • Computer Programming
  • Computer Vision
  • Computers
  • Convolution
  • Discrimination
  • Image Processing
  • Information Processing
  • Language
  • Parallel Computing
  • Parallel Processing
  • Processing Equipment
  • Recognition
  • Target Classification
  • Target Discrimination
  • Target Recognition

Readers

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