PAVEMENT CRACKING DETECTION USING AN ANISOTROPY MEASUREMENT
| العنوان: | PAVEMENT CRACKING DETECTION USING AN ANISOTROPY MEASUREMENT |
|---|---|
| المؤلفون: | Stéphane Begot, Florent Duculty, Manuel Avila, Tien Sy Nguyen, Jean-Christophe Bardet |
| المساهمون: | Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Duculty, Florent |
| المصدر: | 11ème IASTED International Conference on Computer Graphics and Imaging (CGIM) 11ème IASTED International Conference on Computer Graphics and Imaging (CGIM), Feb 2010, Innsbruck, Austria |
| بيانات النشر: | HAL CCSD, 2010. |
| سنة النشر: | 2010 |
| مصطلحات موضوعية: | Engineering, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, 0211 other engineering and technologies, 02 engineering and technology, Set (abstract data type), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, image analysis, 11. Sustainability, 021105 building & construction, 0502 economics and business, Anisotropy, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, 050210 logistics & transportation, Measure (data warehouse), business.industry, crack detection, 05 social sciences, Wavelet transform, Structural engineering, Characterization (materials science), Cracking, road classification, Road surface, Noise (video), business, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| الوصف: | Automatic pavement cracking detection is a part of road maintenance and rehabilitation strategies. Cracks detection is one of the main features used by road authorities to manage efficiently its networks. Different systems are available to perform road analysis. We give a short description of some of them. Apparatus which was used to provide our images is described with more details. Road surface is made using randomly organized aggregates which can have different sizes. Scanned pictures of theses surfaces appear as random distribution of a reduced set of gray levels. Automatic crack detection is a difficult task due to the noisy pavement surface. In this paper, we introduce a measure of anisotropy for the characterization of cracks. The basic idea of this method is to detect the variation of features by considering different orientations. Noise variation and defect properties can be take into account by our method. Comparative results of anisotropy method with threshold method and 2D wavelet transform method are presented to illustrate benefits of anisotropy. We show that this method can be used to detect others types of defects, such as joints. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6582ebe81122cd09257811c41da3790a https://hal.archives-ouvertes.fr/hal-00608266/file/soumission_finale_CGIM.pdf |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....6582ebe81122cd09257811c41da3790a |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |