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Automatic Road Crack Detection by Selection of Minimal Paths

Amhaz, Rabih and Chambon, Sylvie and Idier, Jérôme and Baltazart, Vincent Automatic Road Crack Detection by Selection of Minimal Paths. (2013) In: 24ème Colloque sur le Traitement du Signal et des Images (GRETSI 2013), 3 September 2013 - 6 September 2013 (Brest, France).

(Document in English)

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Automatic detection of road cracks from pavement images has become an important challenge in many countries. Among the different methods proposed in the literature, this paper proposes to combine shortest-paths previously estimated in the image. The proposed method takes account of both photometric and geometric characteristics of cracks simultaneously and requires a few informations a priori. It has been tested on image data sets collected by a dynamic imaging system.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01197285
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
French research institutions > Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - IFSTTAR (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Nantes (FRANCE)
Laboratory name:
Deposited On:22 Jul 2015 11:24

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