剪切散斑干涉条纹图像处理技术研究进展
Development of Image Processing Technology for Shearography Phase Fringe Patterns
DOI: 10.12677/JISP.2023.124035, PDF,   
作者: 林 薇, 王芷曼：中国电子科技集团公司第二十八研究所，江苏 南京
关键词: 剪切散斑干涉；条纹图；滤波；相位解包裹；图像处理；Shearography； Phase Fringe Patterns； Filtering； Phase Unwrapping； Image Processing
摘要: 剪切散斑干涉技术是一种高精度、非接触的光学全场测量方法，可对复合材料构件的分层、脱粘、皱折、裂纹、撞击损伤等缺陷进行无损检测，在航空航天复合材料无损检测领域得到了广泛应用。本文从剪切散斑干涉的技术原理和系统结构展开，结合大视场剪切散斑干涉光路结构分析了相移技术的应用，论述了干涉相位条纹图滤波和相位解包裹技术等条纹图像处理过程中的关键算法，最后介绍了深度学习网络在剪切散斑干涉测量中的应用，并分析讨论其优势与不足，对未来研究方向进行了展望。
Abstract: Shearography is a high-precision, non-contact optical full-field measurement method that can perform non-destructive testing of composite material components such as delamination, debonding, wrinkles, cracks, and impact damage. It has been widely used in the field of nondestructive testing of aerospace composite materials. Starting from the technical principle and system structure of shearography, this paper analyzes the application of phase shift technology based on the large field of view shearography optical path structure, discusses the key algorithms in the stripe image processing process such as interference phase fringe map filtering and phase dewrapping technology, and finally introduces the application of deep learning network in shearography, analyzes and discusses its advantages and disadvantages, and looks forward to the future research direction.
文章引用：林薇, 王芷曼. 剪切散斑干涉条纹图像处理技术研究进展[J]. 图像与信号处理, 2023, 12(4): 360-368. https://doi.org/10.12677/JISP.2023.124035

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