Comparison of different quality assessment functions in autoregulative illumination intensity algorithms

Yufu Qu; Yuanbo Zhao; Zhaobang Pu

doi:10.1117/1.2388924

1 November 2006 Comparison of different quality assessment functions in autoregulative illumination intensity algorithms

Yufu Qu, Yuanbo Zhao, Zhaobang Pu

Author Affiliations +

Optical Engineering, Vol. 45, Issue 11, 117201 (November 2006). https://doi.org/10.1117/1.2388924

Abstract

The selection of an image quality assessment criterion plays a key role when an illuminant of autoregulative intensity is designed for a vision measurement system. In this work eight image quality assessment functions were compared and analyzed with adjustment of the illumination intensity from weak to strong. Four different workpieces, each representing a typical spatial frequency, were used in the comparison. The experimental results show that the best two functions are the image variance function and the gray standard deviation function.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yufu Qu, Yuanbo Zhao, and Zhaobang Pu "Comparison of different quality assessment functions in autoregulative illumination intensity algorithms," Optical Engineering 45(11), 117201 (1 November 2006). https://doi.org/10.1117/1.2388924

Published: 1 November 2006

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