Pulsed Thermography: evaluation and quantitative analysis of defects through different post-processing algorithms

Pulsed thermography is commonly used as non-destructive technique for evaluating defects within materials and components. However, raw thermal imaging data are usually not suitable for quantitative evaluation of defects. Many data processing algorithms have been developed and each of them provide enhanced detection and sizing of researched defects. In this work, two algorithms have been investigated: Slope, Square of the Correlation Coefficient (R-2). The aim of this work is to compare these algorithms with the well-established Pulse Phase thermography technique in terms of defects detectability.