Robust algorithm for automated microindentation measurement in Vickers hardness testing

Michael Gadermayr; Andreas Maier; Andreas Uhl

doi:10.1117/1.JEI.21.2.021109

21 May 2012 Robust algorithm for automated microindentation measurement in Vickers hardness testing

Michael Gadermayr, Andreas Maier, Andreas Uhl

Author Affiliations +

Funded by: Austrian Federal Ministry for Transport, Innovation and Technology

Journal of Electronic Imaging, Vol. 21, Issue 2, 021109 (May 2012). https://doi.org/10.1117/1.JEI.21.2.021109

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.

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Michael Gadermayr, Andreas Maier, and Andreas Uhl "Robust algorithm for automated microindentation measurement in Vickers hardness testing," Journal of Electronic Imaging 21(2), 021109 (21 May 2012). https://doi.org/10.1117/1.JEI.21.2.021109

Published: 21 May 2012

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