计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (10): 171-174.DOI: 10.3778/j.issn.1002-8331.2010.10.054

• 图形、图像、模式识别 • 上一篇    下一篇

栅格图像自动矢量化系统的研究与实现

张东辉1,何政伟1,2,杨 斌1,3   

  1. 1.成都理工大学 地质灾害防治与地质环境保护国家重点实验室,成都 610059
    2.首都师范大学 资源环境与地理信息系统北京市重点实验室,北京 100037
    3.中国地震局 地质研究所,北京 100029
  • 收稿日期:2008-09-25 修回日期:2008-12-05 出版日期:2010-04-01 发布日期:2010-04-01
  • 通讯作者: 张东辉

Study and implementation of raster image automatic vector system

ZHANG Dong-hui1,HE Zheng-wei1,2,YANG Bin1,3   

  1. 1.National Lab of Geo-hazard Prevention & Geo-environment Protection,Chengdu University of Technology,Chengdu 610059,China
    2.Beijing Municipal Key Lab for Resource Environment & Geographic Information System,Capital Normal University,Beijing 100037,China
    3.Institute of Geology,China Earthquake Administration,Beijing 100029,China
  • Received:2008-09-25 Revised:2008-12-05 Online:2010-04-01 Published:2010-04-01
  • Contact: ZHANG Dong-hui

摘要: 研究了自动矢量化地图所需的理论,并基于.NET平台进行了算法实现。以实现自动矢量化为目标,按照传统获取矢量化数据的流程进行探索。从数字图像处理和数学形态学的相应理论角度出发,分析了自动矢量化系统的功能;讨论了扫描电子地图二值化的实现、腐蚀膨胀和开闭运算理论在电子地图去噪中的应用、基于模式识别技术的图元细化与识别等难点技术。针对上述技术,在.NET平台上,基于GDI+技术,通过实例验证了自动矢量化系统的可行性及有效性。

关键词: 自动矢量化, 数学形态学, 栅格图像, .NET平台

Abstract: his paper studies the theoretic of raster image automatic vector and programming the system based on .NET platform.As realizing automatic vector to be the goal,this paper studies following the traditional vectoring maps flow,analyzing the function of automatic vector system with taking into account of the theoretic of digital image processing and mathematical morphology.The content includes these hard cores such as the mention of transforming a gray image to be binary;the application of eroding-inflating and opening-closing theory for wiping off image noises;abstracting and identifying image elements by using mode recognition technology.Proving the feasibility and validity of automatic vector system by an instantiation system,which is programmed on .NET platform based on GDI+ technique applying the above arithmetic.

Key words: automatic vector, mathematical morphology, raster image, .NET platform

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