Robust crack detection strategies for aerial inspection

Emanuel Aldea (1, 2) , Sylvie Le Hégarat (1, 2)

1 SATIE-MOSS - Méthodes et Outils pour les Signaux et Systèmes
2 UP11 - Université Paris-Sud - Paris 11

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.

Mots clés: Crack detection; fissure detection; a-contrario strategies; FFA; MPP; aerial inspection

Domaines: Traitement du signal et de l'image [eess.SP]

Emanuel Aldea, Sylvie Le Hégarat. Robust crack detection strategies for aerial inspection. The International Conference on Quality Control by Artificial Vision 2015, Jun 2015, Le Creusot, France. ⟨10.1117/12.2182920⟩. ⟨hal-01691969⟩