Kim Se-yun | School Of Electrical Engineering And Computer Science Kyungpook National University
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概要
- KIM Se-Yunの詳細を見る
- 同名の論文著者
- School Of Electrical Engineering And Computer Science Kyungpook National Universityの論文著者
関連著者
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Kim Se-yun
School Of Electrical Engineering And Computer Science Kyungpook National University
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Park Kil-houm
School Of Electrical Engineering And Computer Science Kyungpook National University
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KIM Se-Yun
School of Electrical Engineering and Computer Science, Kyungpook National University
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Jung Chang-do
Department Of Mathematics Kyungpook National University
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Song Young-chul
School Of Electrical Engineering And Computer Science Kyungpook National University
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JUNG Chang-Do
Department of Mathematics, Kyungpook National University
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PARK Kil-Houm
School of Electrical Engineering and Computer Science, Kyungpook National University
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Oh Jong-hwan
School Of Electrical Engineering And Computer Science Kyungpook National University
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YUN Byoung-Ju
School of Electrical Engineering and Computer Science, Kyungpook National University
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SONG Young-Chul
School of Electrical Engineering and Computer Science, Kyungpook National University
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Yun Byoung-ju
School Of Electrical Engineering And Computer Science Kyungpook National University
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Lim Yongdo
Department Of Mathematics Kyungpook National University
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JUNG Chang-Do
School of Electrical Engineering and Computer Science, Kyungpook National University
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KIM Hyunduk
Department of Mathematics, Kyungpook National University
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Kim Hyunduk
Department Of Mathematics Kyungpook National University
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Chang-Do Jung
Department of Mathematics, Kyungpook National University, Daegu 702-701, Korea
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Se-Yun Kim
School of Electrical Engineering and Computer Science, Kyungpook National University, Daegu 702-701, Korea
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Kil-Houm Park
School of Electrical Engineering and Computer Science, Kyungpook National University, Daegu 702-701, Korea
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Kil-Houm Park
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-dong, Puk-gu, Daegu 702-701, Korea
著作論文
- A Development of the TFT-LCD Image Defect Inspection Method Based on Human Visual System
- Effective Defect Detection in Thin Film Transistor Liquid Crystal Display Images Using Adaptive Multi-Level Defect Detection and Probability Density Function
- Application of Piecewise Linear Regression Twice to Inspect The Defective Regions on Thin Film Transistor Liquid Crystal Display Panels
- Intensity Flow Estimation of Thin Film Transistor Liquid Crystal Display Panel Surface Image Using Multiweighted Morphology Pairs