Trends in automated visual inspection
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Over the years, a number of review papers on various aspects of surface defect detection have been reported.
“Over the years, a number of review papers [6-12] on various aspects of surface defect detection have been reported.”
From Review of vision-based steel surface inspection systems (2014) · cites this paper as [8]
Cites
Automatic PCB inspection systems
Moganti, M., & Erçal, F. (1995) · IEEE Potentials · doi:10.1109/45.464686 · Cited by 70 · see citing works
Enhancement of flying probe tester systems with automated optical inspection
Radev, P., & Shirvaikar, M. V. (2006) · doi:10.1109/ssst.2006.1619101 · Cited by 13 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Review of vision-based steel surface inspection systems
Neogi, N., Mohanta, D. K., & Dutta, P. K. (2014) · EURASIP Journal on Image and Video Processing · doi:10.1186/1687-5281-2014-50 · Cited by 322 · see citing works
“Over the years, a number of review papers [6-12] on various aspects of surface defect detection have been reported.”
BackgroundRecent advances in surface defect inspection of industrial products using deep learning techniques
Zheng, X., Zheng, S., Kong, Y., & Chen, J. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-06592-8 · Cited by 287 · see citing works
Research Progress of Visual Inspection Technology of Steel Products—A Review
Sun, X., Gu, J., Tang, S., & Li, J. (2018) · Applied Sciences · doi:10.3390/app8112195 · Cited by 109 · see citing works
Ghidoni, S., Antonello, M., Nanni, L., & Menegatti, E. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2015.07.020 · Cited by 18 · see citing works
- Authors
- Shirvaikar, M.
- Affiliations
- The University of Texas at Tyler (US)
- Corresponding author
- Shirvaikar, Mukul
- ORCID
- Shirvaikar, Mukul
- Venue
- Journal of Real-Time Image Processing
- Published
- 2006-03
- Volume
- 1
- Issue
- 1
- Pages
- 41-43
- ISSN
- 1861-8200 (ISSN-L)
- 1861-8219
- OpenAlex
- W1983438078
- Cited by
- 38
- References
- 2
- Citations by year
- 2023: 4 · 2022: 5 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 5 · 2014: 3 · 2013: 4 · 2012: 2
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Real-Time Image Processing (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- automated visual inspection, machine vision
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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