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Proceedings Paper

Robust crack detection strategies for aerial inspection
Author(s): Emanuel Aldea; Sylvie Le Hégarat
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Paper 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.

Paper Details

Date Published: 30 April 2015
PDF: 8 pages
Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 953413 (30 April 2015); doi: 10.1117/12.2182920
Show Author Affiliations
Emanuel Aldea, IEF, Univ. Paris-Sud 11 (France)
Sylvie Le Hégarat, IEF, Univ. Paris-Sud 11 (France)


Published in SPIE Proceedings Vol. 9534:
Twelfth International Conference on Quality Control by Artificial Vision 2015
Fabrice Meriaudeau; Olivier Aubreton, Editor(s)

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