Diffusion Geodesic Path: A Common Feature for Automatic Image-Map Registration
Diffusion Geodesic Path: A Common Feature for Automatic Image-Map Registration
复制标题
扩散测地线路径：自动图像地图配准的共同特征
DOI：
10.1109/isspit.2006.270933
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
S. Kamata
中科院分区：
文献类型：
--
作者：
Li Tian;S. Kamata
影像-地图配准的目的是利用航空影像对地理信息系统（GIS）中的数字地图进行配准。用于此任务的传统方法需要手动选择图像和地图中的特征，例如连接点。确定如何自动提取图像和地图之间的共同特征是一个难题。在这项研究中，我们提出了一种新的框架，提取图像和地图之间的共同特征命名为扩散测地线路径（DGP），并使用它的图像地图配准。为了克服图像和地图在表现形式上的差异，我们首先利用物理学中的扩散过程来扩散图像和地图之间的差异，从而构造出两幅新的边缘图像。然后，我们使用测地线在这些新的边缘图像上提取特征点（角点）之间的几条路径。最后，一部分提取的路径被自动选择，并用于注册。实验结果表明，DGP是一个通用的和强大的图像和地图之间的特征，它可以提供足够的信息，自动图像地图配准。整个框架可以很好地实现图像-地图的自动配准
The purpose of image-map registration is to revise the digital map included in geographic information system (GIS) with aerial image. The traditional method for this task requires the manual selection of features such as tie points in both the image and the map. Determining how to automatically extract common features between image and map is a difficult problem. In this study, we propose a novel framework of extracting the common feature named diffusion geodesic path (DGP) between image and map, and use it for image-map registration. In order to overcome the differences in presentations between image and map, we first construct two new edge images from the image and the map using the diffusion process in physics to diffuse the differences between them. Then, we extract several paths between feature points (corner points) on these new edge images using the geodesic. Finally, a part of the extracted paths are automatically selected and are used for registration. The experimental results implicate that our DGP is a common and robust feature between image and map, and it can provide sufficient information for automatic image-map registration. The whole framework works well on automatic image-map registration