Computer Aided Ammunition Radiography,

Abstract

A need exists for improving the current methods for ensuring the safety of ammunition fuzes. Accordingly the feasibility of using automatic techniques for the inspection of ammunition fuzes has been investigated. The investigation covered the following aspects. (1) The usefulness of image enhancement techniques for the improvement of the detectability of defects; (2) the feasibility of automatic recognition of defects: and (3) the merits and the practicability of using real-time radiography to replace the film-based system for fuze inspection. It may be concluded from the feasibility study that image qualities can be significantly enhanced for visual detection. When a defect can be characterised in terms of the intensity and geometrical factors of its radiographic images automatic identification of the defect also appears to be feasible. The assessment also indicated that the use of real-time radiography is now a practical proposition. Keywords: Pattern recognition; Image processing; Australia. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1985
Accession Number
ADA160759

Entities

People

  • D. F. Hedger
  • J. D. Quinn
  • K. K. M. Wu

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Detection
  • Digital Image Processing
  • Digital Images
  • Identification
  • Image Processing
  • Information Processing
  • Inspection
  • Intensity
  • Materials
  • Moment Of Inertia
  • Pattern Recognition
  • Radiography
  • Recognition
  • Regions
  • Security

Fields of Study

  • Engineering

Readers

  • Neural Network Machine Learning.
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design

Technology Areas

  • AI & ML