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Proceedings Paper

Measuring image sharpness for a computer vision-based Vickers hardness measurement system
Author(s): A. Maier; G. Niederbrucker; A. Uhl
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Paper Abstract

A large variety of autofocus functions used for assessing image sharpness is evaluated for the application in a passive autofocus system in the context of microindentation-based Vickers hardness testing. The functions are evaluated on a significant dataset of microindentation images with respect to the accuracy of sharpness assessment, their robustness to downsampling the image data, and their computational demand. Experiments suggest that the simple Brenner autofocus function is the best compromise between accuracy and computational effort in the considered application context.

Paper Details

Date Published: 12 July 2011
PDF: 10 pages
Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000N (12 July 2011); doi: 10.1117/12.890895
Show Author Affiliations
A. Maier, Univ. of Salzburg (Austria)
G. Niederbrucker, 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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