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Mixing and Simplex Search for Optimal Illumination in Machine Vision.

Authors :
Kim, HyungTae
Cho, KyeongYong
Jin, Kyungchan
Yoon, JooSung
Cho, YoungJune
Source :
International Journal of Optomechatronics. Jul2014, Vol. 8 Issue 3, p206-217. 12p.
Publication Year :
2014

Abstract

Mixed-color illumination affects the quality of images in industrial vision system and it is important to optimize color and intensity for image acquisition. This study used simplex search to find the optimal illumination in a short amount of time. A typical color mixer synthesized various color of lights by changing the inputs of RGB power LEDs and passing the lights through an optical system. The image quality under mixed-color illumination was calculated according to the sharpness. For the purpose of optimal illumination using simplex search, a probe network was organized with N + 1probing points for N inputs. The shape of the probe network, simplex, was varied through procedures of extension, contraction, and shrinkage. The inputs of the color mixer were changed until the size of the simplex became smaller than a threshold. The simplex search was tested for commercial semiconductor patterns, and was useful for finding the optimal illumination. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15599612
Volume :
8
Issue :
3
Database :
Academic Search Index
Journal :
International Journal of Optomechatronics
Publication Type :
Academic Journal
Accession number :
96652074
Full Text :
https://doi.org/10.1080/15599612.2014.915600