The Line Scan Camera Calibration Based on Space Rings Group
In addition to the accuracy requirements, the calibration of the line scan camera (LSC) should also have strong operability and portability. This paper presents a low-cost high-reliability LSC calibration method. First, a 3D right-angle stereo target based on concentric rings is designed, which is n...
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Format: | Article |
Language: | English |
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IEEE
2018-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8320770/ |
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author | Menghui Niu Kechen Song Xin Wen Defu Zhang Yunhui Yan |
author_facet | Menghui Niu Kechen Song Xin Wen Defu Zhang Yunhui Yan |
author_sort | Menghui Niu |
collection | DOAJ |
description | In addition to the accuracy requirements, the calibration of the line scan camera (LSC) should also have strong operability and portability. This paper presents a low-cost high-reliability LSC calibration method. First, a 3D right-angle stereo target based on concentric rings is designed, which is named space rings group, and it is suitable for static calibration of LSC. The calibration target has a simple structure and is easy to carry. The calibration process does not require other auxiliary instruments, greatly improving the operability of the calibration for the line camera. Second, in order to improve the positioning accuracy of subpixel edges in the image and reduce the computational complexity, a subpixel edge detection method is adopted, which is a region-by-region localization algorithm, a combination of global adaptive Canny detection and local partial area effect (Local-Canny-PAE, LCPAE). Then, the relationship between the actual spatial point and the image point is established by using the invariant nature of the image and the imaging model of the camera, and the two-step particle swarm optimization (TS_PSO) algorithm is used to solve the internal parameters of the camera. Finally, the validity of this method is verified by computer simulation and real experiment. |
first_indexed | 2024-12-13T13:21:59Z |
format | Article |
id | doaj.art-9f7873647e1a48d2a6af1509603de759 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-13T13:21:59Z |
publishDate | 2018-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-9f7873647e1a48d2a6af1509603de7592022-12-21T23:44:23ZengIEEEIEEE Access2169-35362018-01-016237112372110.1109/ACCESS.2018.28176298320770The Line Scan Camera Calibration Based on Space Rings GroupMenghui Niu0Kechen Song1https://orcid.org/0000-0002-7636-3460Xin Wen2Defu Zhang3Yunhui Yan4School of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang, ChinaIn addition to the accuracy requirements, the calibration of the line scan camera (LSC) should also have strong operability and portability. This paper presents a low-cost high-reliability LSC calibration method. First, a 3D right-angle stereo target based on concentric rings is designed, which is named space rings group, and it is suitable for static calibration of LSC. The calibration target has a simple structure and is easy to carry. The calibration process does not require other auxiliary instruments, greatly improving the operability of the calibration for the line camera. Second, in order to improve the positioning accuracy of subpixel edges in the image and reduce the computational complexity, a subpixel edge detection method is adopted, which is a region-by-region localization algorithm, a combination of global adaptive Canny detection and local partial area effect (Local-Canny-PAE, LCPAE). Then, the relationship between the actual spatial point and the image point is established by using the invariant nature of the image and the imaging model of the camera, and the two-step particle swarm optimization (TS_PSO) algorithm is used to solve the internal parameters of the camera. Finally, the validity of this method is verified by computer simulation and real experiment.https://ieeexplore.ieee.org/document/8320770/Line scan camera (LSC)calibrationspace rings group (SRG)local-Canny-PAE (LCPAE)two-step particle swarm optimization (TS_PSO) |
spellingShingle | Menghui Niu Kechen Song Xin Wen Defu Zhang Yunhui Yan The Line Scan Camera Calibration Based on Space Rings Group IEEE Access Line scan camera (LSC) calibration space rings group (SRG) local-Canny-PAE (LCPAE) two-step particle swarm optimization (TS_PSO) |
title | The Line Scan Camera Calibration Based on Space Rings Group |
title_full | The Line Scan Camera Calibration Based on Space Rings Group |
title_fullStr | The Line Scan Camera Calibration Based on Space Rings Group |
title_full_unstemmed | The Line Scan Camera Calibration Based on Space Rings Group |
title_short | The Line Scan Camera Calibration Based on Space Rings Group |
title_sort | line scan camera calibration based on space rings group |
topic | Line scan camera (LSC) calibration space rings group (SRG) local-Canny-PAE (LCPAE) two-step particle swarm optimization (TS_PSO) |
url | https://ieeexplore.ieee.org/document/8320770/ |
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