Image-based pavement crack detection by percolation theory
Image-based pavement crack detection by percolation theory
复制标题
基于渗流理论的基于图像的路面裂缝检测
DOI：
10.1109/iciteed.2017.8250508
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Zhang Zhong
中科院分区：
文献类型：
--
作者：
Yasuhiro Kawasaki;Kousuke Matsushima;Zhang Zhong
沥青路面的使用性能可能会迅速恶化，因为地方政府期望的服务水平降低。因此，有很多道路损坏，如裂缝，坑洼和车辙的一些路面。如果他们继续处于不方便的状态，可能会发生车祸和摩托车坠落等道路交通事故。此外，如果它们进一步恶化，则有可能无法保持路面安全性能，并且结构可能会倒塌。因此，有必要诊断路面的安全性，并定期进行适当的维护。在本研究中，我们提出了高精度的裂缝检测方法的渗流理论。阴影减少方法用于更准确地检测裂缝。实验结果表明，自适应搜索窗方法能准确、快速地检测出多种裂纹。
Asphalt pavement performance may deteriorate so rapidly because the desired service level of local governments is reduced. Thus, there are a lot of road damages like cracks, potholes, and ruts on some pavements. If they remain in the condition of being inconvenient, road-traffic accidents such as vehicle crash and fall of motorcycle would be occurred. Moreover, if they get worse further, there are possibilities that the pavement safety performance cannot be maintained and the structures may collapse. Hence, it is necessary to diagnose the pavements for safety and to carry out proper maintenance on a regular basis. In the present study, we present the approach for highly accurate crack detection based percolation theory. The shadow reduction approach is used to detect cracks more accurately. Experimental results show that many kinds of cracks can be detected correctly and fast with the adaptive search window method.
影响因子：
4.2
作者：
Merazi-Meksen, Thouraya;Boudraa, Malika;Boudraa, Bachir
通讯作者：
Boudraa, Bachir
影响因子：
3.1
作者：
Pascale, Giovanni;Lolli, Antonio
通讯作者：
Lolli, Antonio