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- W2896938441 abstract "The interfering objects often hang on the overhead line tower with a large number, which brings great inconvenience and hurdles to the inspection and repair for maintainers. In the field of Unmanned Aerial Vehicle (U A V) routing inspection, many scholars focus on how to detect foreign object on images of power equipment. This paper proposes to use the combination of the morphological closing operation and morphological features restriction to give an accurate detection of the location and quantity of foreign object pictured by the UA V. experiments show that the accuracy is greater than 95%. There is no denying that human costs can be slashed, and at the same time, enhance the inspection and repair capabilities of maintenance personnel." @default.
- W2896938441 created "2018-10-26" @default.
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- W2896938441 date "2018-06-01" @default.
- W2896938441 modified "2023-09-24" @default.
- W2896938441 title "Morphology-Based Visual Detection of Foreign Object on Overhead Line Tower" @default.
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- W2896938441 doi "https://doi.org/10.1109/icivc.2018.8492783" @default.
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