Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision
To address the lack of fast and high-precision in situ measurement of large-sized pipes in current industrial applications, a pipe-diameter-measurement method based on stereo vision is designed in this paper. By using multiple sets of binocular cameras to perform 3D reconstruction and integration of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5277 |
| _version_ | 1797501694648516608 |
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| author | Pu Liu Lieshan Zhang Meibao Wang |
| author_facet | Pu Liu Lieshan Zhang Meibao Wang |
| author_sort | Pu Liu |
| collection | DOAJ |
| description | To address the lack of fast and high-precision in situ measurement of large-sized pipes in current industrial applications, a pipe-diameter-measurement method based on stereo vision is designed in this paper. By using multiple sets of binocular cameras to perform 3D reconstruction and integration of multiple laser markers projected on measured cross sections of pipes, the pipe diameter can be estimated. In this method, a measurement algorithm is adopted to enable automatic matching of feature points through affine distance transformation, and an optimized point-cloud-registration algorithm with normal-vector constraints is used to ensure measurement robustness. To verify the feasibility of the method, an experimental system was built under laboratory conditions, and three types of pipes with outer diameters from 285 mm to 325 mm were measured. The experimental results show that the relative error is within ±0.570% and the maximum repeatability standard deviation is 0.551 mm. The experimental results basically meet industrial standards, and the proposed method therefore has good application prospects. |
| first_indexed | 2024-03-10T03:22:15Z |
| format | Article |
| id | doaj.art-3b8b50d80b734d6da3a5d567feeef243 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:22:15Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3b8b50d80b734d6da3a5d567feeef2432023-11-23T10:00:19ZengMDPI AGApplied Sciences2076-34172022-05-011210527710.3390/app12105277Measurement of Large-Sized-Pipe Diameter Based on Stereo VisionPu Liu0Lieshan Zhang1Meibao Wang2Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaFaculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaFaculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaTo address the lack of fast and high-precision in situ measurement of large-sized pipes in current industrial applications, a pipe-diameter-measurement method based on stereo vision is designed in this paper. By using multiple sets of binocular cameras to perform 3D reconstruction and integration of multiple laser markers projected on measured cross sections of pipes, the pipe diameter can be estimated. In this method, a measurement algorithm is adopted to enable automatic matching of feature points through affine distance transformation, and an optimized point-cloud-registration algorithm with normal-vector constraints is used to ensure measurement robustness. To verify the feasibility of the method, an experimental system was built under laboratory conditions, and three types of pipes with outer diameters from 285 mm to 325 mm were measured. The experimental results show that the relative error is within ±0.570% and the maximum repeatability standard deviation is 0.551 mm. The experimental results basically meet industrial standards, and the proposed method therefore has good application prospects.https://www.mdpi.com/2076-3417/12/10/5277large-sized pipe3D reconstructionaffine distance transformationmatching of feature pointspoint-cloud registration |
| spellingShingle | Pu Liu Lieshan Zhang Meibao Wang Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision Applied Sciences large-sized pipe 3D reconstruction affine distance transformation matching of feature points point-cloud registration |
| title | Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision |
| title_full | Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision |
| title_fullStr | Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision |
| title_full_unstemmed | Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision |
| title_short | Measurement of Large-Sized-Pipe Diameter Based on Stereo Vision |
| title_sort | measurement of large sized pipe diameter based on stereo vision |
| topic | large-sized pipe 3D reconstruction affine distance transformation matching of feature points point-cloud registration |
| url | https://www.mdpi.com/2076-3417/12/10/5277 |
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