12 July 2011 Algorithms for microindentation measurement in automated Vickers hardness testing
Author Affiliations +
Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 80000M (2011); doi: 10.1117/12.890894
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Gadermayr, A. Maier, A. Uhl, "Algorithms for microindentation measurement in automated Vickers hardness testing", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000M (12 July 2011); doi: 10.1117/12.890894; https://doi.org/10.1117/12.890894
PROCEEDINGS
10 PAGES


SHARE
KEYWORDS
Databases

Image processing

Hough transforms

Optical inspection

Edge detection

Microscopes

Visualization

RELATED CONTENT

Pattern Verification Through Die-To-Database Inspection
Proceedings of SPIE (January 01 1987)
Automatic Detection Of Hot Slab Subsurface Inclusion
Proceedings of SPIE (October 23 1986)
Intelligent visual inspection of food products
Proceedings of SPIE (March 01 1991)
Visual detection of defects in solder joints
Proceedings of SPIE (March 27 1995)

Back to Top