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

在路面养护中，有必要检测路面上的白线和裂缝。本研究的目的是提取路面图像中的裂缝、白/黄线、接缝和人孔等结构元素。由于路面图像的低对比度和野性，这些元素的提取并不容易。首先介绍了一种单独提取每种元素的方法，并取得了足够高的提取率。另一方面，例如，人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错误的提取。此外，我们获得了大量新的路面图像数据，并进行了提取实验。因此，在之前使用的图像数据集中存在“一个污点”，它可能是一个假裂缝，因此我们对一些参数进行了改进，以避免错误提取。此外，在白色中心线/黄色中心线的提取中，需要对边缘提取阶段的参数进行Jansen Shannon散度的细化。通过这些改进，所提出的路面元素提取方法对新的图像数据集具有足够高的性能。

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.