Application of Additive Regional Kalman Filtering to X-Ray Images in NDE

  • John P. Basart
  • Yi Zheng
  • Edward R. Doering
Conference paper
Part of the Review of Progress in Quantitative Nondestructive Evaluation book series (RPQN, volume 6 A)


One of the time consuming procedures in inspecting parts by x-ray film is the identification of a flaw. Low contrast films of dense objects especially cause problems. A radiologist must have considerable experience in identification in order to keep the examination time relatively small, but also keep the reliability high. Our objective in this project is to develop a computer procedure that will sufficiently enhance flaws in an image in a manner that will reduce the time it takes a human to locate and identify a flaw.


Kalman Filter Quantum Fluctuation Error Covariance Matrix Spatial Activity Dense Object 
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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Copyright information

© Springer Science+Business Media New York 1987

Authors and Affiliations

  • John P. Basart
    • 1
  • Yi Zheng
    • 1
  • Edward R. Doering
    • 1
  1. 1.Center for NDEIowa State UniversityAmesUSA

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