The Complex Wavelet Transform is applied to analyse thermographic data (in a similar way as the ‘classical’ Fourier transform but with the advantage of preserving time information of the signal). This information can be correlated e.g. to defect depth, allowing a quantitative evaluation of defects. Based on these results we determine the ‘phase velocity’ of thermal diffusion waves by application of Complex Wavelets (dispersion relation).
Image Processing and Computer Vision in Thermography
The acquisition system represents a combination of a thermal imaging system and a 3D surface measurement. It will link the depth information and the color image of a low-cost sensor with the information of a thermography camera to support and extend the non-destrutive testing method.