Image acquisition techniques for automatic visual inspection of metallic surfaces
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- Authors
- Pernkopf, F., & O'Leary, P.
- Affiliations
- Graz University of Technology (AT)
- Montanuniversität Leoben (AT)
- Corresponding author
- Pernkopf, Franz
- ORCID
- Pernkopf, Franz
- Venue
- NDT & E International
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 36
- Issue
- 8
- Pages
- 609-617
- ISSN
- 0963-8695 (ISSN-L)
- OpenAlex
- W2116419385
- Cited by
- 117
- References
- 20
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1 · 2022: 5 · 2021: 10 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 8 · 2016: 9 · 2015: 11 · 2014: 7 · 2013: 8 · 2012: 9
- FWCI
- 13.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NDT & E International (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Computational Mechanics › Surface Roughness and Optical Measurements
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Optical measurement and interference techniques
- Keywords
- automated visual inspection, metal surfaces, image acquisition, lighting techniques, range imaging, light sectioning, photometric stereo, surface defects, cavities
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