Subsurface defect characterization in artworks by quantitative PPT and holographic interferometry

In this study, experimental data from two artwork specimens was acquired and processed by pulsed phase thermography (PPT) and holographic interferometry. The first speci men was a wood painting with a variety of damages typical of this kind of pieces. A comparati ve study between thermog raphy and interferometry results showed the potential complementarities of both techniques. The second inspected specimen was a fresco with fabrica ted inserts inspected by PPT to detect and characterize the subsurface defects. The well-known concept of Signal-to-Noise Ratio (SNR) is proposed for the selection of the proper phasegram frequency at which defect sizing is periormed. A de-noising step was requ ired prior to the application of the Canny edge detection algorithm . It is demonstrated with this investigation th at PPT and holographic interierometry are va luable tools for the qualitative and quantitative assessment of artworks. This paper was published in the QIRT Journal 5.2

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