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In this work, we present an automated inspection approach to assist remote visual examinations of nuclear power plant components. An automated approach would require detecting often low contrast cracks that could be surrounded by or even within textures with similar appearances such as welding, scratches, and grind marks. We propose a crack segmentation method for remote visual examination videos...
Robust inspection is important to ensure the safety of nuclear power plant components. Manually inspecting 100+ hours of video for rarely occurring cracks is a tedious process. However, automatic inspection is challenging as the images often contain highly textured area including weld and concrete surface which causes fragmented and noisy segmentations. Moreover, lack of crack samples cause challenges...
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