Innovative segmentation technique for aerial power lines via amplitude stretching transform
Abstract Accurate segmentation of power line targets helps quickly locate faults, evaluate line conditions, and provides key image data support and analysis for the safe and stable operation of the power system.The aerial power line in segmentation due to the target is small, and the imaging reflect...
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| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86753-x |
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| author | Pengfei Xu Nor Anis Asma Sulaiman Yafei Ding Jiangwei Zhao |
| author_facet | Pengfei Xu Nor Anis Asma Sulaiman Yafei Ding Jiangwei Zhao |
| author_sort | Pengfei Xu |
| collection | DOAJ |
| description | Abstract Accurate segmentation of power line targets helps quickly locate faults, evaluate line conditions, and provides key image data support and analysis for the safe and stable operation of the power system.The aerial power line in segmentation due to the target is small, and the imaging reflected energy is weak, so the Unmanned Aerial Vehicle (UAV) aerial power line image is very susceptible to the interference of the environment line elements and noise, resulting in the detection of the power line target in the image of the defective, intermittent, straight line interferences and other low accuracy and real-time efficiency is not high. For this reason, this paper designs a pure amplitude stretching kernel function to form a Fourier amplitude vector field and uses this amplitude vector field to implement the stretching transformation of the amplitude field of the aerial power line image, so that the angular field after the Fourier inverse transformation can better react to the spatial domain line targets, and finally, after the Relative Total Variation (RTV) processing, the power line can be well detected. The proposed algorithm is compared with the main power line segmentation algorithms, such as Region Convolutional Neural Networks(R-CNN) and Phase Stretch Transform(PST). The average values of evaluation indicators PPA, MMPA and MMIoU of the image segmentation results of the proposed algorithm reach 0.96, 0.96 and 0.95 respectively, and the average time lag of detection is less than 0.2s, indicating that the accuracy and real-time performance of the segmentation results of the proposed algorithm are significantly better than those of the above algorithms. |
| format | Article |
| id | doaj-art-e656d916125b4f18b0e0460880fd46ee |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e656d916125b4f18b0e0460880fd46ee2025-01-26T12:28:40ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-025-86753-xInnovative segmentation technique for aerial power lines via amplitude stretching transformPengfei Xu0Nor Anis Asma Sulaiman1Yafei Ding2Jiangwei Zhao3Henan International Joint Laboratory of Machine Vision and Intelligent Systems, Department of Information Engineering, Pingdingshan UniversityCenter of Sustainable in Software Engineering, Faculty of Engineering, Built Environment & Information Technology, SEGI UniversityHenan International Joint Laboratory of Machine Vision and Intelligent Systems, Department of Information Engineering, Pingdingshan UniversityHenan International Joint Laboratory of Machine Vision and Intelligent Systems, Department of Information Engineering, Pingdingshan UniversityAbstract Accurate segmentation of power line targets helps quickly locate faults, evaluate line conditions, and provides key image data support and analysis for the safe and stable operation of the power system.The aerial power line in segmentation due to the target is small, and the imaging reflected energy is weak, so the Unmanned Aerial Vehicle (UAV) aerial power line image is very susceptible to the interference of the environment line elements and noise, resulting in the detection of the power line target in the image of the defective, intermittent, straight line interferences and other low accuracy and real-time efficiency is not high. For this reason, this paper designs a pure amplitude stretching kernel function to form a Fourier amplitude vector field and uses this amplitude vector field to implement the stretching transformation of the amplitude field of the aerial power line image, so that the angular field after the Fourier inverse transformation can better react to the spatial domain line targets, and finally, after the Relative Total Variation (RTV) processing, the power line can be well detected. The proposed algorithm is compared with the main power line segmentation algorithms, such as Region Convolutional Neural Networks(R-CNN) and Phase Stretch Transform(PST). The average values of evaluation indicators PPA, MMPA and MMIoU of the image segmentation results of the proposed algorithm reach 0.96, 0.96 and 0.95 respectively, and the average time lag of detection is less than 0.2s, indicating that the accuracy and real-time performance of the segmentation results of the proposed algorithm are significantly better than those of the above algorithms.https://doi.org/10.1038/s41598-025-86753-xPure amplitude stretching transformPower line image segmentationRTV transform |
| spellingShingle | Pengfei Xu Nor Anis Asma Sulaiman Yafei Ding Jiangwei Zhao Innovative segmentation technique for aerial power lines via amplitude stretching transform Scientific Reports Pure amplitude stretching transform Power line image segmentation RTV transform |
| title | Innovative segmentation technique for aerial power lines via amplitude stretching transform |
| title_full | Innovative segmentation technique for aerial power lines via amplitude stretching transform |
| title_fullStr | Innovative segmentation technique for aerial power lines via amplitude stretching transform |
| title_full_unstemmed | Innovative segmentation technique for aerial power lines via amplitude stretching transform |
| title_short | Innovative segmentation technique for aerial power lines via amplitude stretching transform |
| title_sort | innovative segmentation technique for aerial power lines via amplitude stretching transform |
| topic | Pure amplitude stretching transform Power line image segmentation RTV transform |
| url | https://doi.org/10.1038/s41598-025-86753-x |
| work_keys_str_mv | AT pengfeixu innovativesegmentationtechniqueforaerialpowerlinesviaamplitudestretchingtransform AT noranisasmasulaiman innovativesegmentationtechniqueforaerialpowerlinesviaamplitudestretchingtransform AT yafeiding innovativesegmentationtechniqueforaerialpowerlinesviaamplitudestretchingtransform AT jiangweizhao innovativesegmentationtechniqueforaerialpowerlinesviaamplitudestretchingtransform |