Civil aircraft surface defects detection based on histogram …

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  • DOI 10.1109/iccasit48058.2019.8973194
  • OpenAlex ID W3003960249
  • Type Conference-paper
  • Language EN
  • Published 01 Oct 2019
  • Pages 34–38
  • Source IEEE International Conference on Civil A…
  • FWCI 1.49
  • Countries 1
  • Institutions 1
  • Added 10 Oct 2025
  • Updated 05 Oct 2026
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Civil aircraft surface defects detection based on histogram of oriented gradient

Conference-paper 2019 EN

Visual inspection is the primary means of non-destructive testing of civil aircraft skin surfaces but it may lead to the inability to detect due to human factors and bad weather. We propose an automatic recognition method for aircraft surface defects based on histogram of oriented gradient (HOG) and analyze three typical types of failures: scratches, corrosion, and paint detachment. The experiment…

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6 authors
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1 Jiachen Guo Nanjing University of Aeronaut… (CN)
2 Xu Juan Nanjing University of Aeronaut… (CN) —
3 Zuo Hongfu Nanjing University of Aeronaut… (CN) —
4 Hang Fei Nanjing University of Aeronaut… (CN)
5 Zhong Zhirong Nanjing University of Aeronaut… (CN) —
6 Xiangqian Xu Nanjing University of Aeronaut… (CN)
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