道路中心线

该算法分三步：第一步，基于改进的Canny准则提取边缘图像，然后，基于图像分割和细化算法得到候选道路中心线；

This algorithm is composed of three steps : in the first step , the edge image is extracted based on improved Canny rule , and the road centerlines are obtained by using image segmentation and thinning algorithms ;

高分辨率航空图像的道路中心线提取法

The Centerline Extraction of the Road in High-resolution Aerial Images

提出了一种新的从航空影像上提取道路中心线的半自动方法。

A new approach for road centerline semi-automatic extraction from aerial images is proposed .

实验表明该算法能够快速、稳健地从遥感影像上提取道路中心线。

The test shows the algorithm can extract the central line of the road from aviation image much faster and more robust .

算法的核心思想是根据道路中心线模型将道路智能提取问题等价的转换到图论中去，然后在图空间中搜索最短路径，优化后得到待提取道路的中心线。

A new extraction model of the road is realized , whose key thought lies in the transformation from intelligent extraction according to road axis model to graphical theory model , and then , through searching the shortest path in graphical space , we get the road axis .

路径跟踪是实现地下铲运机自动化作业的基本任务之一，一般在规划要求跟踪的路径时以巷道路面中心线为期望路径。

Tracking path is one of basic task for the LHD unit auto-drive , sometime midline of tunnel is considered as the LHD 's expectation path .

道路坐标指路中心线交点坐标。

Road coordinates refer to the coordinates of Intersectionof road center lines .

结果显示该改进算法完整准确地分割得到道路区域。（2）提出水平集道路自动提取方法和基于道路中心线接力引导的分块方法。

The results show that the improved method segments the road area completely and accurately . ( 2 ) An automatic road extraction method is proposed and a framework of dividing large images into sub-images is designed based on the road centerline relay guidance .

最后对道路网络信息进行形态细化和一定次数的形态修剪处理，得到单像素宽的道路中心线信息。

Finally , determine the centerline of the road network by Morphological thinning and cropping .

然后，探讨了将道路提取问题等价的转换到图论中去的过程，并结合遗传算法和细菌算法的优点提出了自然选择算法用于图空间中最短路径的搜索，得到道路中心线的大致轮廓。

In this paper , taking the advantage of GA and Bacterial algorithm we bring forward the natural selection algorithm to find the graphical optimization path .