• DocumentCode
    2545637
  • Title

    Research on extracting skeleton line of polygon

  • Author

    Bangmei, Guo ; Tao, Wang ; Rong, Zhao

  • Author_Institution
    Center of E-Gov., Chinese Acad. of Surveying & Mapping, Beijing, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    The Skeleton Line is a very important function to the various automatic transactions for polygon, which is important to map generalization, grid data compression, lettering annotation, and analysis of geographical phenomenon of polygon in GIS etc. The skeleton of area object can be extracted by algorithm based on vector or grid data automatically. Using classical thinning algorithm to extract skeleton Line will lose a few important characteristic points or lines and can´t to keep the relationships with the circumjacent element according to need. This paper proposes an improved algorithm basing on the classical thinning algorithm, which improves the skeleton line of polygon to adapt to concrete applications. A case study shows that the improved algorithm is not only able to reserve the important characteristics of original polygon, but also can keep the relationships with the circumjacent element according to need.
  • Keywords
    feature extraction; image thinning; GIS; geographical phenomenon; grid data compression; lettering annotation; map generalization; polygon; skeleton line extraction; thinning algorithm; Data compression; Data mining; Data structures; Electronic government; Geographic Information Systems; Morphology; Parallel algorithms; Pixel; Rivers; Skeleton; Classical Thinning Algorithmic; Skeleton Line; Thinning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477698
  • Filename
    5477698