• DocumentCode
    2361690
  • Title

    Line extraction algorithm based on image vectorization

  • Author

    Naouai, Mohamed ; Narjess, Melki ; Hamouda, Atef

  • Author_Institution
    Fac. of Sci. of Tunis, Univ. Campus el Manar DSI, Tunis, Tunisia
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    470
  • Lastpage
    476
  • Abstract
    The raster-vector conversion of remote sensing image is a very important task in the extraction and updating of linear objects in cartographic processes. In this paper we present a vectorization method, based on constrained Delaunay triangulation, for line extraction. The constraints are provided by a preprocessing step insuring that these edges belong to line structures in the original image. The vectorization is performed using CDT and resulting triangles are grouped into polygins that make up the vector image. The skeleton of these polygons represents the extracted linear structures. The algorithm is automatic, fast and has very satisfing results when tested on road segments.
  • Keywords
    computational geometry; edge detection; feature extraction; image thinning; CDT; cartographic process; constrained Delaunay triangulation; image vectorization; line extraction algorithm; linear objects; raster-vector conversion; remote sensing image; Correlation; Image edge detection; Image segmentation; Pixel; Shape; Skeleton; Vectors; CDT; Object recognition; Vectorization; skeletonization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588627
  • Filename
    5588627