A two-stage defect detection method for unevenly illuminated self-adhesive printed materials
Author:
Funder
State Administration for Market Regulation of China
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-71514-z.pdf
Reference57 articles.
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4. Jian, C., Gao, J. & Ao, Y. Automatic surface defect detection for mobile phone screen glass based on machine vision. Appl. Soft Comput. 52, 348–358 (2017).
5. Staude, A. et al. Quantification of the capability of micro-CT to detect defects in castings using a new test piece and a voxel-based comparison method. NDT E Int. 44, 531–536 (2011).
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