Impact damage characterization in CFRP samples with self-organizing maps applied to lock-in thermography and square-pulse shearography images
作者：
Highlights：
• Self-organizing maps were used to segment low-energy impact damages in CFRP samples.
• Optical lock-in thermography and square-pulse shearography images were the input data.
• Self-organizing map results were comparable to optimal state-of-the-art tools.
• Self-organizing maps presented less artifacts when compared with the baseline methods.
• Self-organizing maps were more prone to false negatives than to false positives.
摘要
•Self-organizing maps were used to segment low-energy impact damages in CFRP samples.•Optical lock-in thermography and square-pulse shearography images were the input data.•Self-organizing map results were comparable to optimal state-of-the-art tools.•Self-organizing maps presented less artifacts when compared with the baseline methods.•Self-organizing maps were more prone to false negatives than to false positives.
论文关键词：Self-organizing maps,Image processing,Non-destructive testing,Composite materials,Lock-in thermography,Square-pulse shearography
论文评审过程：Received 21 July 2020, Revised 9 June 2021, Accepted 24 November 2021, Available online 18 December 2021, Version of Record 24 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116297
