A Line Segment Detector for Space Target Images Robust to Complex Illumination
The relative pose estimation of the space target is indispensable for on-orbit autonomous service missions. Line segment detection is an important step in pose estimation. The traditional line segment detectors show impressive performance under sufficient illumination, while it is easy to fail under...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/10/2/195 |
| _version_ | 1797623047117602816 |
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| author | Xingxing Zhang Changyu Hu Hanhan Liu Ronghua Du Xiaofeng Zhou Ling Wang |
| author_facet | Xingxing Zhang Changyu Hu Hanhan Liu Ronghua Du Xiaofeng Zhou Ling Wang |
| author_sort | Xingxing Zhang |
| collection | DOAJ |
| description | The relative pose estimation of the space target is indispensable for on-orbit autonomous service missions. Line segment detection is an important step in pose estimation. The traditional line segment detectors show impressive performance under sufficient illumination, while it is easy to fail under complex illumination conditions where the illumination is too bright or too dark. We propose a robust line segment detector for space applications considering the complex illumination in space environments. An improved two-dimensional histogram construction strategy is used to optimize the Otsu method to improve the accuracy of anchor map extraction. To further improve line segment detection’s effect, we introduce an aggregation method that uses the angle difference between segments, the distance between endpoints, and the overlap degree of segments to filter the aggregation candidate segments and connect disjoint line segments that probably came from the same segment. We demonstrate the performance of the proposed line segment detector using a variety of images collected on a semiphysical simulation platform. The results show that our method has better performance than traditional line segment detectors including LSD, Linelet, etc., in terms of line detection precision. |
| first_indexed | 2024-03-11T09:18:54Z |
| format | Article |
| id | doaj.art-5c3f3df2b15c43aab48cd86707d29363 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-11T09:18:54Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-5c3f3df2b15c43aab48cd86707d293632023-11-16T18:27:55ZengMDPI AGAerospace2226-43102023-02-0110219510.3390/aerospace10020195A Line Segment Detector for Space Target Images Robust to Complex IlluminationXingxing Zhang0Changyu Hu1Hanhan Liu2Ronghua Du3Xiaofeng Zhou4Ling Wang5Key Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, ChinaSchool of Electronic Information Engineering, Wuxi University, Wuxi 214063, ChinaKey Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, ChinaCollege of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaKey Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, ChinaKey Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, ChinaThe relative pose estimation of the space target is indispensable for on-orbit autonomous service missions. Line segment detection is an important step in pose estimation. The traditional line segment detectors show impressive performance under sufficient illumination, while it is easy to fail under complex illumination conditions where the illumination is too bright or too dark. We propose a robust line segment detector for space applications considering the complex illumination in space environments. An improved two-dimensional histogram construction strategy is used to optimize the Otsu method to improve the accuracy of anchor map extraction. To further improve line segment detection’s effect, we introduce an aggregation method that uses the angle difference between segments, the distance between endpoints, and the overlap degree of segments to filter the aggregation candidate segments and connect disjoint line segments that probably came from the same segment. We demonstrate the performance of the proposed line segment detector using a variety of images collected on a semiphysical simulation platform. The results show that our method has better performance than traditional line segment detectors including LSD, Linelet, etc., in terms of line detection precision.https://www.mdpi.com/2226-4310/10/2/195complex illuminationspace targetline segment detectionOtsuaggregation |
| spellingShingle | Xingxing Zhang Changyu Hu Hanhan Liu Ronghua Du Xiaofeng Zhou Ling Wang A Line Segment Detector for Space Target Images Robust to Complex Illumination Aerospace complex illumination space target line segment detection Otsu aggregation |
| title | A Line Segment Detector for Space Target Images Robust to Complex Illumination |
| title_full | A Line Segment Detector for Space Target Images Robust to Complex Illumination |
| title_fullStr | A Line Segment Detector for Space Target Images Robust to Complex Illumination |
| title_full_unstemmed | A Line Segment Detector for Space Target Images Robust to Complex Illumination |
| title_short | A Line Segment Detector for Space Target Images Robust to Complex Illumination |
| title_sort | line segment detector for space target images robust to complex illumination |
| topic | complex illumination space target line segment detection Otsu aggregation |
| url | https://www.mdpi.com/2226-4310/10/2/195 |
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