Straight Line Features Detection and Mosaic of Wind Power Blades Image
It is necessary to periodically inspect the blade surface of the wind turbines operation. The widely used manual inspection method brings a heavy workload, high cost and low detection rate, so it is urgent to need anautomatic inspection system.Image mosaic of wind power blades is a key part of the i...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2020-10-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1873 |
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| _version_ | 1850033595709652992 |
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| author | MA Baoyan TANG Lei ZHAO Jing HE Yongjun |
| author_facet | MA Baoyan TANG Lei ZHAO Jing HE Yongjun |
| author_sort | MA Baoyan |
| collection | DOAJ |
| description | It is necessary to periodically inspect the blade surface of the wind turbines operation. The widely used manual inspection method brings a heavy workload, high cost and low detection rate, so it is urgent to need anautomatic inspection system.Image mosaic of wind power blades is a key part of the intelligent inspection system, which directly determines the system performance. Current splicing methods cannot extract enough feature points when facing a strip object with a single structure and color such as wind power blade, causing failure in splicing success. A splicing method based on line features is proposed to solve this problem. This method first detects straight lines in the images of the wind power blade, then selects the deduplication as the feature for image registration, and finally splices the blade image according to translation rotation matrix.Experimental results show that the proposed method shows strong robustness and stability in complex situations such as single structure, small coincidence degree and diverse backgroundstability. |
| format | Article |
| id | doaj-art-171f4c322c8a4f70b6c6e5df54064f60 |
| institution | DOAJ |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2020-10-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-171f4c322c8a4f70b6c6e5df54064f602025-08-20T02:58:08ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832020-10-012505839210.15938/j.jhust.2020.05.012Straight Line Features Detection and Mosaic of Wind Power Blades ImageMA Baoyan0TANG Lei1ZHAO Jing2HE Yongjun3School of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Computer Science and Technology，Harbin University of Science and Technology，Harbin 150080，ChinaIt is necessary to periodically inspect the blade surface of the wind turbines operation. The widely used manual inspection method brings a heavy workload, high cost and low detection rate, so it is urgent to need anautomatic inspection system.Image mosaic of wind power blades is a key part of the intelligent inspection system, which directly determines the system performance. Current splicing methods cannot extract enough feature points when facing a strip object with a single structure and color such as wind power blade, causing failure in splicing success. A splicing method based on line features is proposed to solve this problem. This method first detects straight lines in the images of the wind power blade, then selects the deduplication as the feature for image registration, and finally splices the blade image according to translation rotation matrix.Experimental results show that the proposed method shows strong robustness and stability in complex situations such as single structure, small coincidence degree and diverse backgroundstability.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1873image mosaicstraight line featuresdegree of difference |
| spellingShingle | MA Baoyan TANG Lei ZHAO Jing HE Yongjun Straight Line Features Detection and Mosaic of Wind Power Blades Image Journal of Harbin University of Science and Technology image mosaic straight line features degree of difference |
| title | Straight Line Features Detection and Mosaic of Wind Power Blades Image |
| title_full | Straight Line Features Detection and Mosaic of Wind Power Blades Image |
| title_fullStr | Straight Line Features Detection and Mosaic of Wind Power Blades Image |
| title_full_unstemmed | Straight Line Features Detection and Mosaic of Wind Power Blades Image |
| title_short | Straight Line Features Detection and Mosaic of Wind Power Blades Image |
| title_sort | straight line features detection and mosaic of wind power blades image |
| topic | image mosaic straight line features degree of difference |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1873 |
| work_keys_str_mv | AT mabaoyan straightlinefeaturesdetectionandmosaicofwindpowerbladesimage AT tanglei straightlinefeaturesdetectionandmosaicofwindpowerbladesimage AT zhaojing straightlinefeaturesdetectionandmosaicofwindpowerbladesimage AT heyongjun straightlinefeaturesdetectionandmosaicofwindpowerbladesimage |