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Special Section on Quality Control by Artificial Vision

Robust algorithm for automated microindentation measurement in Vickers hardness testing

[+] Author Affiliations
Michael Gadermayr

University of Salzburg, Department of Computer Sciences, Salzburg, Austria 5020

Andreas Maier

University of Salzburg, Department of Computer Sciences, Salzburg, Austria 5020

Andreas Uhl

University of Salzburg, Department of Computer Sciences, Salzburg, Austria 5020

J. Electron. Imaging. 21(2), 021109 (May 21, 2012). doi:10.1117/1.JEI.21.2.021109
History: Received September 15, 2011; Revised December 2, 2011; Accepted January 16, 2012
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Abstract.  Current algorithms for automated processing of Vickers hardness testing images are unsuitable for a broad range of images that are taken in industrial environments because such images show great variations in the Vickers indentation as well as in the specimen surface. The authors present a three-stage multiresolution template matching algorithm that shows excellent results, even for such challenging images. The capabilities of this algorithm are compared to known algorithms from the literature and results are presented. The comparison is conducted on two significant indentation image databases with 150 and 216 highly varying images. The applicability of the proposed algorithm is further illustrated by its competitive runtime performance.

© 2012 SPIE and IS&T

Citation

Michael Gadermayr ; Andreas Maier and Andreas Uhl
"Robust algorithm for automated microindentation measurement in Vickers hardness testing", J. Electron. Imaging. 21(2), 021109 (May 21, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021109


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