Applying a gad filter to calculate heat sources from noisy temperature fields

Abstract

This study deals with a post-processing technique to reconstruct heat source fields from temperature fields measured by infrared thermography. A Gradient Anisotropic Diffusion (GAD) image filter is used to process the data. The technique is first described. Synthetic temperature fields corrupted by added noise are then considered to assess the robustness of the procedure and the filter is optimized in order to reconstruct at best the heat source fields. Results are compared with those obtained with an averaging filter and a Gaussian derivative filter. The second part of the study presents an application to experimental temperature fields. Obtained results illustrate the relevancy of the GAD filter to reliably extract heat sources in thermomechanics of materials.