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Proceedings Paper

Algorithms for microindentation measurement in automated Vickers hardness testing
Author(s): M. Gadermayr; A. Maier; A. Uhl
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Paper Abstract

Current algorithms in automated indentation measurement in the context of Vickers microindentation hardness testing suffer from a lack of robustness with respect to entirely missed indentation corner points when applied to real world data sets. Four original algorithms are proposed, discussed and evaluated on a significant data set of indentation images. Three out of these four exhibit accuracy close to human operated hardness testing which has been conducted as a reference technique.

Paper Details

Date Published: 12 July 2011
PDF: 10 pages
Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000M (12 July 2011); doi: 10.1117/12.890894
Show Author Affiliations
M. Gadermayr, Univ. of Salzburg (Austria)
A. Maier, Univ. of Salzburg (Austria)
A. Uhl, Univ. of Salzburg (Austria)


Published in SPIE Proceedings Vol. 8000:
Tenth International Conference on Quality Control by Artificial Vision
Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert, Editor(s)

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