Research of Extraction Method of Road Elements from Road surface Image Based on Morphology.

在路面养护中，检测路面上的白线和裂缝是必要的。在这项研究中，目的是提取路面图像中的结构元素，如裂缝、白/黄线、接缝和沙井。由于路面图像的对比度低和野性，提取这些元素并不容易。首先，我们介绍了一种单独提取元素的方法，并达到了足够高的萃取率。另一方面，例如，检修孔周围的一条小沟被提取为假裂缝。我们提出了一种基于规则的松弛方法来解决误抽取问题。此外，我们还获得了大量新的路面图像数据，并进行了提取实验。结果，出现了以前使用的图像数据集中没有包括的“污点”，这可能是一个虚假的裂缝，因此我们改进了一些参数以避免错误提取。另外，在提取白色中心线/黄色中心线时，利用Jansen-Shannon散度对边缘提取阶段的参数进行了修正。通过这些改进，本文提出的路面元素提取方法对新的图像数据集具有足够的性能。

In maintenance of a road surface, it is necessary to detect white lines and cracks on a road surface. In this study, the aim is extracting structural elements such as, a crack, a white/yellow line, a joint and a manhole in the road surface image. The extraction of such elements is not easy due to the low contrast and wildness of a road surface image. At first we introduced a method to extract each element individually and achieved high enough extraction rate. On the other hand, for example, a tiny ditch around a manhole is extracted as a false crack. We proposed a rule based relaxation method to resolve the false extraction. In addition, we obtained a large quantity of new road surface image data and performed an extraction experiment. As a result, there was "a stain" that was not included in previously used image data set and it could be a false crack, so we refined some parameters to avoid false extraction. In addition, in extraction of the white center line / yellow center line, a refinement the parameter was necessary about edge extraction stage by the Jansen Shannon divergence. Through these refinements, proposed road surface element extraction method has highly enough performance to new image data set.