Special Section on Quality Control by Artificial Vision

Fusion of geometric and thermographic data for automated defect detection

[+] Author Affiliations
Beata Oswald-Tranta

University of Leoben, Institute for Automation, Peter-Tunnerstrasse 27, A-8700 Leoben, Austria

Paul O’Leary

University of Leoben, Institute for Automation, Peter-Tunnerstrasse 27, A-8700 Leoben, Austria

J. Electron. Imaging. 21(2), 021108 (May 07, 2012). doi:10.1117/1.JEI.21.2.021108
History: Received September 14, 2011; Revised December 20, 2011; Accepted January 10, 2012
Text Size: A A A

Abstract.  Many workpieces produced in large numbers with a large variety of sizes and geometries, e.g. castings and forgings, have to be 100% inspected. In addition to geometric tolerances, material defects, e.g. surface cracks, also have to be detected. We present a fully automated nondestructive testing technique for both types of defects. The workpiece is subject to continuous motion, and during this motion two measurements are performed. In the first step, after applying a short inductive heating, a thermographic measurement is carried out. An infrared camera records the surface temperature of the workpiece enabling the localization of material defects and surface cracks. In the second step, a light sectioning measurement is performed to measure the three-dimensional geometry of the piece. With the help of feature-based registration the data from the two different sources are fused and evaluated together. The advantage of this technique is that a more reliable decision can be made about the nature of the failures and their possible causes. The same registration technique also can be used for the comparison of different pieces and therefore to localize different failure types, via comparison with a “golden,” defect-free piece. The registration technique can be applied to any part that has unique geometric features, around which moments can be computed. Consequently, the inspection technique can be applied to many different parts. The efficacy of the method is demonstrated with measurements on three parts having different geometries.

© 2012 SPIE and IS&T

Citation

Beata Oswald-Tranta and Paul O’Leary
"Fusion of geometric and thermographic data for automated defect detection", J. Electron. Imaging. 21(2), 021108 (May 07, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021108


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.