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.
© (2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yufu Qu, Yufu Qu, Yuanbo Zhao, Yuanbo Zhao, Zhaobang Pu, 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 . Submission:
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