Surface Distresses Detection of Pavement Based on Digital Image Processing

Abstract : Pavement crack is the main form of early diseases of pavement. The use of digital photography to record pavement images and subsequent crack detection and classification has undergone continuous improvements over the past decade. Digital image processing has been applied to detect the pavement crack for its advantages of large amount of information and automatic detection. The applications of digital image processing in pavement crack detection, distresses classification and evaluation were reviewed in the paper. The key problems were analyzed, such as image enhancement, image segmentation and edge detection. The experiment results of the commonly used algorithms forcefully supported following conclusion: the noise in pavement crack images is effectively removed by median filtering, the histogram modification technique is a useable segmentation approach, the canny edge detection is an ideal identification approach of pavement distresses.
Type de document :
Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-347 (Part IV), pp.368-375, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18369-0_42〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01564843
Contributeur : Hal Ifip <>
Soumis le : mercredi 19 juillet 2017 - 11:23:37
Dernière modification le : mercredi 19 juillet 2017 - 11:30:15

Fichier

978-3-642-18369-0_42_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Aiguo Ouyang, Chagen Luo, Chao Zhou. Surface Distresses Detection of Pavement Based on Digital Image Processing. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-347 (Part IV), pp.368-375, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18369-0_42〉. 〈hal-01564843〉

Partager

Métriques

Consultations de la notice

55

Téléchargements de fichiers

39