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A method for extracting road network topology points in a picture

A road network and topological point technology, which is applied in the field of basic database construction of virtual road traffic system, can solve the problem of not being able to directly access internal data, programs, modules, etc., and achieve an easy-to-use algorithm, high application value, and strong applicability Effect

Active Publication Date: 2019-06-28
SOUTHEAST UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the basic database is kept confidential. Users can only use the listed open API (Application Programming Interface) function provided by the map software to display the results of API-related service data, and cannot directly access and use internal data, programs, modules, etc.

Method used

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  • A method for extracting road network topology points in a picture
  • A method for extracting road network topology points in a picture
  • A method for extracting road network topology points in a picture

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Embodiment Construction

[0034] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0035]The invention provides a method for extracting topological points of a road network in a picture, which can identify nodes, inflection points and intermediate nodes of the road network. The method includes sequential image information reading, image preprocessing, skeleton graph scanning to obtain topological points and road nodes, deletion of redundant nodes, and image recognition to obtain road network foundation. The method of the invention extracts the topological points of the road network based on image recognition, and expands the construction method of the basic database of the virtual road traffic system.

[0036] The present invention provides a method for extracting road network topology points in pictures, which can quickly and accurately identify road network nodes, inflection points and intermediate nodes, including sequentia...

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Abstract

The invention provides a method for extracting road network topology points in a picture, which can quickly and accurately identify nodes, inflection points and intermediate nodes of a road network. The method comprises four steps of reading picture information, preprocessing pictures, scanning a skeleton picture to obtain topological points and road nodes, and deleting redundant nodes. Accordingto the method, road network topological points are extracted based on picture recognition, and a basis is provided for obtaining road network data and topological relations. According to the method, avirtual road traffic system basic database construction method is expanded, road network topology point data can be rapidly obtained in batches, and the method can be applied to regional road planning. Meanwhile, according to the method, the road network pictures presented by map software are fully utilized, and the road network data source is expanded.

Description

technical field [0001] The invention relates to the field of basic database construction of a virtual road traffic system based on image processing, and relates to a method for extracting road network topological points in a picture. Background technique [0002] The basic database construction of the virtual road traffic system refers to the establishment of a road network database, the core of which includes acquiring and storing road network nodes, topological adjacency relations and road direction data. As the basic traffic information data of multiple industries, the road network has important applications in urban planning, traffic planning, travel navigation services, emergency rescue, and military affairs. The key to road network construction is topological points, and how to quickly obtain road topological point data in batches is of great significance. [0003] The current basic database construction methods of virtual road traffic system are divided into manual i...

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06F16/51
Inventor 王炜李东亚王玉杰郑永涛
Owner SOUTHEAST UNIV
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