Abstract he Canny shape-reconstruction algorithm is combined with the thermographic signal reconstruction (TSR) technique for the characterisation of delamination defects in planar multilayer structures. The adopted approach consists in fitting the raw thermographic images to a low-degree polynomial in the log–log representation of the time axis, according to TSR technique, and then apply the Canny algorithm to the reconstruction of the original signals. The proposed juxtaposition of the two treatments benefits from the inherent signal de-noising and compression of the TSR algorithm, thus enhancing the performance of the overall reconstruction process. The proposed approach has been applied using synthetic signals obtained via a 3D semi-analytical simulation code and the obtained reconstructed images have been compared with the (known) delamination geometry demonstrating satisfactory results.

中文翻译：

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基于增强 Canny 方法的热成像红外信号对分层缺陷的形状重建

摘要 将 Canny 形状重建算法与热成像信号重建 (TSR) 技术相结合，用于表征平面多层结构中的分层缺陷。所采用的方法包括根据 TSR 技术将原始热成像图像拟合到时间轴的对数-对数表示中的低次多项式，然后将 Canny 算法应用于原始信号的重建。建议将两种处理并置受益于 TSR 算法固有的信号去噪和压缩，从而提高了整个重建过程的性能。