光学精密工程2025，Vol.33Issue(15)：2402-2413,12.DOI:10.37188/OPE.20253315.2402
散斑条纹自适应寻线滤波
Speckle fringes adaptive path-seeking filtering method
摘要
Abstract
Digital speckle pattern interferometry(DSPI)is a real-time,whole-field,and non-contact opti-cal measurement method that has been widely applied in the field of non-destructive testing.However,the original phase maps obtained from DSPI measurements are often corrupted by speckle noise,which can compromise the accuracy and reliability of the subsequent phase unwrapping process.Therefore,there is a pressing need for an adaptive filtering method that can improve filtering performance and enhance the appli-cability of DSPI in complex application scenarios.In this paper,we propose an adaptive path-seeking fil-tering method for speckle fringes.The method first employs YOLOv8 to automatically identify and locate speckle fringe regions,reducing the calculation of invalid areas.Then,combined with the peak feature analysis,the optimal sampling path is dynamically planned to enhance the characterization of complex fringe structures.Finally,a local variance entropy(LVE)evaluation model is established based on B-spline fitting,enabling quantitative assessment of filtering smoothness while effectively preserving critical phase jump information.Experimental results show that the proposed method exhibits excellent filtering performance and automation capabilities across various scenarios,providing reliable support for the engi-neering applications of DSPI.关键词
数字散斑干涉/滤波评价/自动滤波/自适应寻线Key words
digital speckle pattern interferometry/filtering evaluation/automatic filtering judgment/adaptive path-seeking分类
信息技术与安全科学引用本文复制引用
赵琪涵,罗凯祺,蒲嘉祺,姚彦峰,王永红..散斑条纹自适应寻线滤波[J].光学精密工程,2025,33(15):2402-2413,12.基金项目
国家自然科学基金资助项目(No.52375536) （No.52375536）
江西省重点研发计划资助项目(No.20223BBE51010) （No.20223BBE51010）
