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MDPI Sensors
2023년 23권 14호 p.6533 ~ p.6533
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Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform
Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform
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김기남
김성훈,주인, 김기배, 류관희
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- Abstract -
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Ensuring the quality of color contact lenses is vital, particularly in detecting defects during their production since they are directly worn on the eyes. One significant defect is the “center deviation (CD) defect”, where the colored area (CA) deviates from the center point. Measuring the extent of deviation of the CA from the center point is necessary to detect these CD defects. In this study, we propose a method that utilizes image processing and analysis techniques for detecting such defects. Our approach involves employing semantic segmentation to simplify the image and reduce noise interference and utilizing the Hough circle transform algorithm to measure the deviation of the center point of the CA in color contact lenses. Experimental results demonstrated that our proposed method achieved a 71.2% reduction in error compared with existing research methods.
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- Key Words -
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Contact Lenses
Contact Lenses
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- 논문 구분 -
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SCI(E)
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- 사사 정보 -
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the Ministry of Science and ICT (MSIT), Korea, under the Grand Information Technology Research Center support program (IITP-2023-2020-0-01462), supervised by the Institute for In-formation & Communications Technology Planning & Evaluation (IITP).
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- Downloads -
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sensors-23-06533-v2_김기남.pdf
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