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Optical Engineering

Comparison of different quality assessment functions in autoregulative illumination intensity algorithms
Author(s): Yufu Qu; Yuanbo Zhao; Zhaobang Pu
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Paper 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.

Paper Details

Date Published: 1 November 2006
PDF: 6 pages
Opt. Eng. 45(11) 117201 doi: 10.1117/1.2388924
Published in: Optical Engineering Volume 45, Issue 11
Show Author Affiliations
Yufu Qu, Beijing Univ. of Aeronautics and Astronautics (China)
Yuanbo Zhao, Beijing Univ. of Aeronautics and Astronautics (China)
Zhaobang Pu, Harbin Institute of Technology (China)


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