1 November 2006 Comparison of different quality assessment functions in autoregulative illumination intensity algorithms
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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.
Yufu Qu, Yuanbo Zhao, 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
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