基于像素模式的激光激发和光热超分辨率重建的内部缺陷无损热像检测
Nondestructive thermographic detection of internal defects using pixel-pattern based laser excitation and photothermal super resolution reconstruction
摘要：
在这项工作中，我们提出了一种新的方法，光热超分辨率为基础的热成像分辨率的内部缺陷，使用二维像素图案为基础的主动光热激光加热结合随后的数值重建，以实现高分辨率重建的内部缺陷结构。随着建议采用使用激光耦合高功率DLP投影机技术生成的像素化图案，实现真正的二维超分辨率的复杂性可以大大降低，朝着广泛的实际可行性迈出了关键的一步。此外，基于高功率DLP投影仪的最新发展，我们提出了他们的第一个结构化脉冲热成像宏观金属样品的检测应用。此外，提出了一个正向解决方案的基本反问题，以及一个适当的启发式找到必要的正则化参数的数值反演在实验室设置。这允许生成合成测量数据，为基于机器学习的方法的应用打开了大门，以实现该方法的完全自动化。最后，所提出的方法进行了实验验证，并显示出优于几个已建立的传统的热成像测试技术，同时保守地提高了所需的测量时间的一个因素相比，目前可用的光热超分辨率技术。
英文摘要：
In this work, we present a novel approach to photothermal super resolution based thermographic resolution of internal defects using two-dimensional pixel pattern-based active photothermal laser heating in conjunction with subsequent numerical reconstruction to achieve a high-resolution reconstruction of internal defect structures. With the proposed adoption of pixelated patterns generated using laser coupled high-power DLP projector technology the complexity for achieving true two-dimensional super resolution can be dramatically reduced taking a crucial step forward towards widespread practical viability. Furthermore, based on the latest developments in high-power DLP projectors, we present their first application for structured pulsed thermographic inspection of macroscopic metal samples. In addition, a forward solution to the underlying inverse problem is proposed along with an appropriate heuristic to find the regularization parameters necessary for the numerical inversion in a laboratory setting. This allows the generation of synthetic measurement data, opening the door for the application of machine learning based methods for future improvements towards full automation of the method. Finally, the proposed method is experimentally validated and shown to outperform several established conventional thermographic testing techniques while conservatively improving the required measurement times by a factor of 8 compared to currently available photothermal super resolution techniques.
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