A review of applications of visual inspection technology based on image processing in the railway industry. Issue 3 (5th February 2020)
- Record Type:
- Journal Article
- Title:
- A review of applications of visual inspection technology based on image processing in the railway industry. Issue 3 (5th February 2020)
- Main Title:
- A review of applications of visual inspection technology based on image processing in the railway industry
- Authors:
- Liu, Scarlett
Wang, Quandong
Luo, Yiping - Abstract:
- Abstract: In order to ensure the safety of railway transportation, it is necessary to regularly check for faults and defects in the railway system. Visual inspection technology is conducive to improving the low efficiency, poor economy and inaccurate detection results of traditional detection methods. This paper introduces the research and contribution of various scholars in the field of visual inspection, summarizes the application and development of visual inspection technology in the railway industry, and finally forecasts the future research direction of visual inspection technology.
- Is Part Of:
- Transportation safety and environment. Volume 1:Issue 3(2019)
- Journal:
- Transportation safety and environment
- Issue:
- Volume 1:Issue 3(2019)
- Issue Display:
- Volume 1, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 1
- Issue:
- 3
- Issue Sort Value:
- 2019-0001-0003-0000
- Page Start:
- 185
- Page End:
- 204
- Publication Date:
- 2020-02-05
- Subjects:
- visual inspection -- image-processing computer vision -- railway -- high-speed train
Transportation engineering -- Periodicals
Transportation -- Safety measures -- Periodicals
629.04 - Journal URLs:
- http://www.oxfordjournals.org/ ↗
https://academic.oup.com/tse ↗ - DOI:
- 10.1093/tse/tdz007 ↗
- Languages:
- English
- ISSNs:
- 2631-4428
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17309.xml