Since evaluation of field welds using radiographs requires that an inspector compare the radiograph with a standard, subjectivity is introduced. An automated image-analyzing system is proposed to remove this subjectivity. Radiographs containing sharp, well-defined defects on a uniform background can be analyzed by cathode-ray scanners and special-purpose computers in real time. However, the visual contrast in field weld radiographs is rather poor, and many extraneous features are usually present. A scan of 80 standard radiographs using an image analyzer detected only 296 weld defects while human operators identified 988. Techniques for enhancement and filtering of extraneous features are essential to the automated analysis of field weld radiographs. It is recommended that further work on development of an automatic radiographic analyzer be deferred until major advancements occur in the state of the art of image analysis.

  • Corporate Authors:

    Army Construction Engineering Research Laboratory

    P.O. Box 4005
    Champaign, IL  United States  61820
  • Authors:
    • Kearney, F
    • Fornango, J
  • Publication Date: 1976-7

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 18 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00141369
  • Record Type: Publication
  • Report/Paper Numbers: CERL-TR-M-185 Final Rpt.
  • Files: TRIS
  • Created Date: Feb 1 1977 12:00AM