Automatic aerospace weld inspection using unsupervised local deep feature learning

作者：

Highlights：

• Introduction of an unsupervised local deep feature learning method.

• Developing an automatic aerospace weld inspection system on top of the proposed method.

• Comparing the proposed method with the unsupervised classification CNN with the same backbone.

摘要

•Introduction of an unsupervised local deep feature learning method.•Developing an automatic aerospace weld inspection system on top of the proposed method.•Comparing the proposed method with the unsupervised classification CNN with the same backbone.

论文关键词：Unsupervised feature learning,CNNs,Defect detection,Industrial inspection,Intelligent systems

论文评审过程：Received 12 August 2020, Revised 19 November 2020, Accepted 20 February 2021, Available online 22 March 2021, Version of Record 30 March 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106892