A weak supervision machine vision detection method based on artificial defect simulation

作者：

Highlights：

• A weak supervision machine vision detection method is proposed.

• Synthesis algorithms of four different defects of mobile phone screens are designed.

• The method can solve the problem of insufficient samples and unbalanced defect types.

摘要

•A weak supervision machine vision detection method is proposed.•Synthesis algorithms of four different defects of mobile phone screens are designed.•The method can solve the problem of insufficient samples and unbalanced defect types.

论文关键词：Defect detection,Machine vision,Artificial defect,Weak supervision

论文评审过程：Received 16 May 2020, Revised 17 July 2020, Accepted 1 September 2020, Available online 16 September 2020, Version of Record 18 September 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106466