Robust crack detection strategies for aerial inspection

Emanuel Aldea; Sylvie Le Hégarat

doi:10.1117/12.2182920

30 April 2015 Robust crack detection strategies for aerial inspection

Emanuel Aldea, Sylvie Le Hégarat

Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 953413 (2015) https://doi.org/10.1117/12.2182920
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France

Abstract

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.

Citation Download Citation

Emanuel Aldea and Sylvie Le Hégarat "Robust crack detection strategies for aerial inspection", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 953413 (30 April 2015); https://doi.org/10.1117/12.2182920

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