Stochastic inverse thermographic characterization of sub-pixel sized through cracks
The present paper describes an approach for inferring the presence and nature of tiny flaws in thin metallic panel components. The flaws are selected to be reminiscent of nascent-stage through cracks that might appear in the thin aluminum skins of aircraft, for instance. A laser heating source is used in conjunction with a low cost microbolometer-based digital IR imaging system in order that image processing might be applied to uncover promising locations to examine further, for the possible occurrence of tiny flaws. These local regions are subsequently considered during the solution of a stochastic inverse problem; aimed at inferring the existence and character of these unseen flaws that fit within an individual pixel associated the imaging field of view. The study is computational; employing surrogate experimental data.
stochastic inverse problems thermographic imaging crack detection nde/ndt thermographic inspection