Unsupervised surface defect detection of aluminum sheets with combined bright-field and dark-field illumination

Author:

Sun Qian,Xu KeORCID,Liu Huajie,Wang Jianer

Funder

Key Technologies Research and Development Program

Beijing Science and Technology Planning Project

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference54 articles.

1. Product defects in aluminum extrusion and its impact on operational cost;Arif,2002

2. The effect of surface finish on aluminum sheet friction behavior;Hartfield-Wunsch;SAE Int J Mater Manuf,2011

3. Surface treatments for aluminium alloys;Ardelean,2018

4. 3.08 - corrosion of aluminum and its alloys;Scamans,2010

5. Large-complex-surface defect detection by hybrid gradient threshold segmentation and image registration;Cao;IEEE Access,2018

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1. Defect detection of MicroLED with low distinction based on deep learning;Optics and Lasers in Engineering;2024-02

2. Study on Reduction of Background Fringes for Defect Detection of Specular Surface;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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