Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/14/6533 |
| _version_ | 1827731718324355072 |
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| author | Gi-nam Kim Sung-hoon Kim In Joo Gui-bae Kim Kwan-hee Yoo |
| author_facet | Gi-nam Kim Sung-hoon Kim In Joo Gui-bae Kim Kwan-hee Yoo |
| author_sort | Gi-nam Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T00:39:50Z |
| format | Article |
| id | doaj.art-33eb10a3c310400da1fc4690a2f07721 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T00:39:50Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-33eb10a3c310400da1fc4690a2f077212023-11-18T21:19:03ZengMDPI AGSensors1424-82202023-07-012314653310.3390/s23146533Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle TransformGi-nam Kim0Sung-hoon Kim1In Joo2Gui-bae Kim3Kwan-hee Yoo4Department of Computer Science, Chungbuk National University, Cheongju 28644, Republic of KoreaDepartment of Computer Science, Chungbuk National University, Cheongju 28644, Republic of KoreaDepartment of Computer Science, Chungbuk National University, Cheongju 28644, Republic of KoreaNeoVision Co., Ltd., Cheongju 28644, Republic of KoreaDepartment of Computer Science, Chungbuk National University, Cheongju 28644, Republic of KoreaEnsuring 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.https://www.mdpi.com/1424-8220/23/14/6533computer visionimage segmentationDeepLabV3+Hough circle transformdeep learningdata augmentation |
| spellingShingle | Gi-nam Kim Sung-hoon Kim In Joo Gui-bae Kim Kwan-hee Yoo Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform Sensors computer vision image segmentation DeepLabV3+ Hough circle transform deep learning data augmentation |
| title | Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform |
| title_full | Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform |
| title_fullStr | Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform |
| title_full_unstemmed | Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform |
| title_short | Center Deviation Measurement of Color Contact Lenses Based on a Deep Learning Model and Hough Circle Transform |
| title_sort | center deviation measurement of color contact lenses based on a deep learning model and hough circle transform |
| topic | computer vision image segmentation DeepLabV3+ Hough circle transform deep learning data augmentation |
| url | https://www.mdpi.com/1424-8220/23/14/6533 |
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