Prior Knowledge Analysis of Interfaces in CT Data

  • James E. Youngberg
Part of the Review of Progress in Quantitative Nondestructive Evaluation book series


This paper describes an approach to prior knowledge analysis of component interfaces in data measured using X-ray computed tomography (CT). In this approach, geometric details, including the presence or absence of component separations, are estimated more precisely than is normally permitted by the CT reconstruction interval. In the following section, the problem of interface analysis in CT data is presented. The next section discusses prior knowledge analysis and lists the assumptions necessary to make this approach possible. The final two sections discuss limitations inherent in prior knowledge analysis, and results obtained using both simulated and measured CT data.


Prior Knowledge Compute Tomography Data Component Density Outer Interface Automatic Defect Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Jaffey, S.M., et al, Jmnroving D5 Motor Separation Detection iJsinz Computer Processing of HECT Tomograms (Internal report prepared by the Digital Image Processing Laboratory, Lockheed R D Division, LMSC ), April 1988.Google Scholar

Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • James E. Youngberg
    • 1
  1. 1.Perceptics CorporationSalt Lake CityUSA

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