Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration
Ellipse center extraction is the important basis of camera calibration with circle arrays calibration board, which directly affects the measurement accuracy of machine vision system. Aiming at the problem of high noise sensitivity of the most ellipse center extraction methods, a high robust multi-el...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9138399/ |
| _version_ | 1831808029213851648 |
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| author | Changzhi Yu Fang Ji Junpeng Xue |
| author_facet | Changzhi Yu Fang Ji Junpeng Xue |
| author_sort | Changzhi Yu |
| collection | DOAJ |
| description | Ellipse center extraction is the important basis of camera calibration with circle arrays calibration board, which directly affects the measurement accuracy of machine vision system. Aiming at the problem of high noise sensitivity of the most ellipse center extraction methods, a high robust multi-ellipse center extraction method is proposed. The idea is to transform the problem of multi-ellipse center extraction into the problems of ellipse sub-pixel edge segmentation and edge based ellipse center clustering. Firstly, the flowchart of the proposed method is introduced. Then, the theory of fuzzy quotient space is introduced to establish the dynamic granularity matrix space model, which describes image segmentation problem as the jumping and transformation of the image by hierarchical structure. Finally, an adaptive multi-ellipse sub-pixel edge segmentation method and an optimal ellipse center extraction method are proposed based on the dynamic granularity matrix space model. Experimental results show that the proposed method has higher accuracy, robustness and lower camera calibration error. |
| first_indexed | 2024-12-22T20:15:49Z |
| format | Article |
| id | doaj.art-01b1dc7392b24870bd2ca35c738349da |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:15:49Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-01b1dc7392b24870bd2ca35c738349da2022-12-21T18:13:58ZengIEEEIEEE Access2169-35362020-01-01812830812832310.1109/ACCESS.2020.30085599138399Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera CalibrationChangzhi Yu0https://orcid.org/0000-0002-2836-8793Fang Ji1https://orcid.org/0000-0002-9251-8151Junpeng Xue2https://orcid.org/0000-0003-3398-8708Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang, ChinaInstitute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang, ChinaSchool of Aeronautics and Astronautics, Sichuan University, Chengdu, ChinaEllipse center extraction is the important basis of camera calibration with circle arrays calibration board, which directly affects the measurement accuracy of machine vision system. Aiming at the problem of high noise sensitivity of the most ellipse center extraction methods, a high robust multi-ellipse center extraction method is proposed. The idea is to transform the problem of multi-ellipse center extraction into the problems of ellipse sub-pixel edge segmentation and edge based ellipse center clustering. Firstly, the flowchart of the proposed method is introduced. Then, the theory of fuzzy quotient space is introduced to establish the dynamic granularity matrix space model, which describes image segmentation problem as the jumping and transformation of the image by hierarchical structure. Finally, an adaptive multi-ellipse sub-pixel edge segmentation method and an optimal ellipse center extraction method are proposed based on the dynamic granularity matrix space model. Experimental results show that the proposed method has higher accuracy, robustness and lower camera calibration error.https://ieeexplore.ieee.org/document/9138399/Multi-ellipse centerdynamic granularity matrix spacesub-pixel edge segmentationhierarchical structurecamera calibration |
| spellingShingle | Changzhi Yu Fang Ji Junpeng Xue Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration IEEE Access Multi-ellipse center dynamic granularity matrix space sub-pixel edge segmentation hierarchical structure camera calibration |
| title | Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration |
| title_full | Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration |
| title_fullStr | Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration |
| title_full_unstemmed | Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration |
| title_short | Dynamic Granularity Matrix Space Model Based High Robust Multi-Ellipse Center Extraction Method for Camera Calibration |
| title_sort | dynamic granularity matrix space model based high robust multi ellipse center extraction method for camera calibration |
| topic | Multi-ellipse center dynamic granularity matrix space sub-pixel edge segmentation hierarchical structure camera calibration |
| url | https://ieeexplore.ieee.org/document/9138399/ |
| work_keys_str_mv | AT changzhiyu dynamicgranularitymatrixspacemodelbasedhighrobustmultiellipsecenterextractionmethodforcameracalibration AT fangji dynamicgranularitymatrixspacemodelbasedhighrobustmultiellipsecenterextractionmethodforcameracalibration AT junpengxue dynamicgranularitymatrixspacemodelbasedhighrobustmultiellipsecenterextractionmethodforcameracalibration |