In flash thermography, the maximum inspectable defect depth is limited when only the raw thermographic sequence is analyzed. The introduction of pulsed phase thermography (PPT), in which phase (contrast) images at different thermal wave frequencies are obtained, significantly improved the maximum inspectable depth while reducing the effects of non-uniform heating and non-uniform surface properties. However, in a practical environment, the evaluation of many phase images per inspection is a cumbersome procedure.

In this paper, a novel Adaptive Spectral Band Integration (ASBI) procedure is introduced for the post-processing of flash thermographic datasets, which yields a unique damage index map. ASBI integrates the most useful spectral information for each pixel individually, obtaining a maximized defect detectability and an almost zero-reference level. The performance of ASBI with respect to defect detectability as well as defect sizing and depth inversion is evaluated thoroughly with both experimentally and numerically generated datasets. The ASBI procedure is successfully applied on various composite coupons with flat bottom holes and barely visible impact damage, as well as on a stiffened aircraft composite panel with a complex cluster of production defects. The ASBI procedure is compared with existing data-processing techniques in literature, illustrating an enhanced performance.

在闪光热成像中，仅分析原始热成像序列时，最大可检查缺陷深度受到限制。脉冲相位热成像（PPT）的引入（其中获得了不同热波频率下的相位（对比度）图像），极大地提高了最大可检查深度，同时减少了加热不均匀和表面特性不均匀的影响。然而，在实际环境中，每次检查评估许多相位图像是很麻烦的过程。

本文介绍了一种新颖的自适应光谱带积分（ASBI）程序，用于闪光灯热成像数据集的后处理，从而产生了唯一的损伤指数图。ASBI分别集成了每个像素最有用的光谱信息，从而获得了最大的缺陷检测能力和几乎零参考水平。通过实验和数字生成的数据集，全面评估了ASBI在缺陷可检测性以及缺陷大小和深度反演方面的性能。ASBI程序已成功应用于各种带有平底孔且几乎看不见冲击损坏的复合材料试件，以及具有一系列复杂生产缺陷的刚性飞机复合材料板。将ASBI程序与文献中现有的数据处理技术进行了比较，