Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods
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. How...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2015-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20153207004 |
| _version_ | 1818447470993080320 |
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| author | Kim HyungTae Cho KyeongYong Kim SeungTaek Kim Jongseok Jin KyungChan Lee SungHo |
| author_facet | Kim HyungTae Cho KyeongYong Kim SeungTaek Kim Jongseok Jin KyungChan Lee SungHo |
| author_sort | Kim HyungTae |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T20:04:08Z |
| format | Article |
| id | doaj.art-920086001ef641869ac925f311b33a9b |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-14T20:04:08Z |
| publishDate | 2015-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-920086001ef641869ac925f311b33a9b2022-12-21T22:49:05ZengEDP SciencesMATEC Web of Conferences2261-236X2015-01-01320700410.1051/matecconf/20153207004matecconf_isot2015_07004Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search MethodsKim HyungTae0Cho KyeongYong1Kim SeungTaek2Kim Jongseok3Jin KyungChan4Lee SungHo5Smart Manufacturing Technology Group, KITECHUTRC, KAISTSmart Manufacturing Technology Group, KITECHSmart Manufacturing Technology Group, KITECHSmart Manufacturing Technology Group, KITECHSmart Manufacturing Technology Group, KITECHAutomatic 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.http://dx.doi.org/10.1051/matecconf/20153207004 |
| spellingShingle | Kim HyungTae Cho KyeongYong Kim SeungTaek Kim Jongseok Jin KyungChan Lee SungHo Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods MATEC Web of Conferences |
| title | Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods |
| title_full | Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods |
| title_fullStr | Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods |
| title_full_unstemmed | Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods |
| title_short | Rapid Automatic Lighting Control of a Mixed Light Source for Image Acquisition using Derivative Optimum Search Methods |
| title_sort | rapid automatic lighting control of a mixed light source for image acquisition using derivative optimum search methods |
| url | http://dx.doi.org/10.1051/matecconf/20153207004 |
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