Robust crack detection strategies for aerial inspection
Emanuel Aldea, Sylvie Le Hégarat‐Mascle · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
In this work, we evaluate the relevance of current state of the art algorithms widely employed in the detection of cracks, for the specific context of aerial inspection, which is characterized by image quality degradation. In this study we focus on minimal cost path and on Marked Point Process algorithms, and we test their resilience to motion blur. The results show that the current strategies for defect detection are sensitive to the quality of input images; alternatively, we suggest some improvements based on a-contrario methods that are able to cope with significant motion blur.