Measuring image sharpness for a computer vision-based Vickers hardness measurement system

A. Maier; G. Niederbrucker; A. Uhl

doi:10.1117/12.890895

12 July 2011 Measuring image sharpness for a computer vision-based Vickers hardness measurement system

A. Maier, G. Niederbrucker, A. Uhl

Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 80000N (2011) https://doi.org/10.1117/12.890895
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France

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.

Citation Download Citation

A. Maier, G. Niederbrucker, and A. Uhl "Measuring image sharpness for a computer vision-based Vickers hardness measurement system", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000N (12 July 2011); https://doi.org/10.1117/12.890895

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