MATEC Web of Conferences
Volume 32, 2015International Symposium of Optomechatronics Technology (ISOT 2015)
|Number of page(s)||5|
|Section||Tunable and adaptive optics|
|Published online||02 December 2015|
Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods
1 Smart Manufacturing Technology Group, KITECH, 35-3, HongCheon, IpJang, CheonAn, ChungNam, 331-825, South Korea
2 UTRC, KAIST, 23, GuSung, YouSung, DaeJeon, 305-701, South Korea
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Automatic lighting (auto-lighting) is a function that maximizes the image quality of a vision inspection system by adjusting the light intensity and color.In most inspection systems, a single color light source is used, and an equal step search is employed to determine the maximum image quality. However, when a mixed light source is used, the number of iterations becomes large, and therefore, a rapid search method must be applied to reduce their number. Derivative optimum search methods follow the tangential direction of a function and are usually faster than other methods. In this study, multi-dimensional forms of derivative optimum search methods are applied to obtain the maximum image quality considering a mixed-light source. The auto-lighting algorithms were derived from the steepest descent and conjugate gradient methods, which have N-size inputs of driving voltage and one output of image quality. Experiments in which the proposed algorithm was applied to semiconductor patterns showed that a reduced number of iterations is required to determine the locally maximized image quality.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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