Several studies demonstrate the effectiveness of pulsed thermography for detection and visualization of sub-superficial flaws in composites. Continuous improvement of thermal data manipulation makes active thermography an attractive and powerful inspection method for industrial process control and maintenance aims. Therefore, temperature image-processing is the major ongoing challenge in the thermographic research field. However, the particular interest for thermographic inspections is to be more addressed to its simple and relatively fast industrial application; an appropriate image processing tool should be implemented and verified on industrial components, containing manufacturing and in-service defects. In the proposed research, well-established and previously proposed methods were analysed and compared for different defect typology inside three CFRP components. The main goal is not solely focused on establishing the suitable data processing approach, providing detection limits of processed data in terms of damage type, size and distribution. The aim of proposed work is to present detailed examples of thermal imaging methods applied on similar critical defects, evaluating different results among methods in terms of defects mapping capabilities and Tanimoto evaluation criterion, coupled also with the signal-to-noise ratio as assessment of defect detectability.

几项研究证明了脉冲热成像对复合材料中亚表面缺陷的检测和可视化的有效性。热数据处理的不断改进使主动热成像成为用于工业过程控制和维护目标的有吸引力且强大的检查方法。因此，温度图像处理是热成像研究领域的主要挑战。然而，热成像检查的特别兴趣更多地是针对其简单且相对快速的工业应用；应在包含制造和使用中缺陷的工业组件上实施和验证适当的图像处理工具。在拟议的研究中，针对三个 CFRP 组件内的不同缺陷类型，分析和比较了成熟的和先前提出的方法。主要目标不仅是建立合适的数据处理方法，还提供处理数据在损坏类型、大小和分布方面的检测限。拟议工作的目的是介绍应用于类似关键缺陷的热成像方法的详细示例，根据缺陷映射能力和 Tanimoto 评估标准评估方法之间的不同结果，并结合信噪比作为缺陷评估可探测性。