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Journal of Imaging, Volume 6, Issue 9

September 2020 - 18 articles

Cover Story: In modern production processes, non-destructive testing (NDT) is becoming increasingly important. One emerging photonic NDT method is active thermography, where components are heated by an optical excitation while the temperature field is observed with an infrared camera. Thus, the temporal evolution of the 2D temperature data (thermal video) is measured and defects that alter the local heat diffusion can be identified by analyzing this time-dependent thermal sequence. We propose an algorithm that can be applied for defect segmentation and depth estimation, even for complex-shaped geometries, while keeping the computational cost low. We implement our algorithm by adapting the well-known thermographic signal reconstruction (TSR) method and compare the results to state-of-the-art thermographic methods using a composite component. View this paper
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J. Imaging - ISSN 2313-433XCreative Common CC BY license