Using image contour recognition in GIS navigation

Wei Lai, Donggang Yu, J. Tanaka, Cai Fei
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Abstract

This paper presents an approach of using image contour recognition in the navigation for enterprise geographic information systems (GIS). The extraction of object mark images is based on some morphological structural patterns which are described by morphological structural points, contour property, and other geometrical data in a binary image of enterprise geographic information map. Some preprocessing methods, contour smooth following, linearization and extraction patterns of structural points, are introduced. If a focus point of a map is selected, based on the extracted object mark image, a dynamic layout and navigation diagram is constructed, which consists of three underlying views: a graph navigation view, an image layout view, and an enterprise information view. In the diagram each object mark image is represented by a node, the relation information between two nodes is represented by an edge. If a node is selected, the new dynamic layout and navigation diagram is found based on the extracted object mark images around the selected node, which contains the relation with the previous diagram. Therefore a dynamic layout adjustment and navigation for enterprise GIS is determined.
图像轮廓识别在GIS导航中的应用
提出了一种将图像轮廓识别应用于企业地理信息系统(GIS)导航的方法。目标标记图像的提取是基于企业地理信息地图二值图像中形态结构点、等高线属性等几何数据所描述的形态结构模式。介绍了结构点的轮廓平滑跟踪、线性化和提取模式等预处理方法。如果选择地图的焦点,则根据提取的对象标记图像构建动态布局导航图,该动态布局导航图包含三个底层视图:图形导航视图、图像布局视图和企业信息视图。图中每个对象标记图像用一个节点表示,两个节点之间的关系信息用一条边表示。如果选择一个节点,则根据所选节点周围提取的对象标记图像找到新的动态布局导航图,其中包含与前一个图的关系。从而确定了企业地理信息系统的动态布局调整与导航。
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