测试技术学报2025，Vol.39Issue(2)：172-179,8.DOI:10.62756/csjs.1671-7449.2025018
基于引导滤波慢特征热成像的复合材料缺陷检测
Defect Detection in Composites Based on Guided Filtered-Slow Feature Thermography
摘要
Abstract
Composites are prone to defects during the manufacturing process and need to be assessed for their safety by non-destructive testing(NDT)techniques.Infrared thermography(IRT),with its advan-tages of low cost and easy setup,has become one of the popular techniques for NDT of composite materi-als.However,multiple thermal images acquired by IRT in a single test often contain ambient noise and an inhomogeneous heating background.Therefore,it is difficult to directly visualize defects in thermo-grams with the naked eyes.In this work,a guided filtered-slow feature thermography(GF-SFT)method for nondestructive evaluation of composite defects is proposed.Firstly,a guided filter algorithm is used to smooth thermal images for noise reduction.Then the filtered thermal image time series is subjected to slow feature analysis in order to extract the slowest change in time(the features that are unchanged or slowly changing in the time series data),so as to identify defects.The feasibility and effectiveness of the GF-SFT method are validated by test results on a carbon fiber-reinforced polymer.关键词
无损检测/红外热成像/碳纤维增强聚合物/引导滤波/慢特征分析Key words
non-destructive testing/infrared thermography/carbon fiber reinforced polymers/guided fil-ter/slow feature analysis分类
电子信息工程引用本文复制引用
钟昕,刘凯新,陈平..基于引导滤波慢特征热成像的复合材料缺陷检测[J].测试技术学报,2025,39(2):172-179,8.基金项目
国家优秀青年科学基金资助项目(62122070) （62122070）
国家自然科学基金青年基金资助项目(62301507) （62301507）
山西省基础研究计划资助项目(202303021222094) （202303021222094）
