Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection

@article{Amhaz2016AutomaticCD,
  title={Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection},
  author={Rabih Amhaz and Sylvie Chambon and J{\'e}r{\^o}me Idier and Vincent Baltazart},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2016},
  volume={17},
  pages={2718-2729}
}
This paper proposes a new algorithm for automatic crack detection from 2D pavement images. It strongly relies on the localization of minimal paths within each image, a path being a series of neighboring pixels and its score being the sum of their intensities. The originality of the approach stems from the proposed way to select a set of minimal paths and the two postprocessing steps introduced to improve the quality of the detection. Such an approach is a natural way to take account of both the… CONTINUE READING
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Automatic road pavement assessment with image processing: Review and comparison

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Highly Influential
4 Excerpts

Détection de fissures par traitement d’images pour la surveillance des chaussées et des ouvrages d’art

  • R. Amhaz
  • Ph.D. thesis, IRCCyN, École Centrale de Nantes,
  • 2015
1 Excerpt

Some advances in monitoring road cracks from 2D pavement images within the scope of the collaborative FP7 TRIMM project

  • V. Baltazart, J.-M. Moliard, R. Amhaz, L.-M. Cottineau, A. Wright, M. Jethwa
  • presented at the EGU Meeting, Vienna, Austria…
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