• DocumentCode
    530077
  • Title

    Line recognition algorithm using Constrained Delaunay Triangulation

  • Author

    Naouai, Mohamed ; Narjess, Melki ; Hamouda, Atef

  • Author_Institution
    Res. unit URPAH, Univ. campus el Manar DSI, Belvédaire, Tunisia
  • fYear
    2010
  • fDate
    15-17 Sept. 2010
  • Firstpage
    51
  • Lastpage
    56
  • Abstract
    Vectorization, i.e. raster-to-vector conversion, is a central part of graphics recognition problems. Graphics recognition is concerned with the analysis of graphics-intensive documents, such as technical drawings, maps or schemas. In this paper we present a generic algorithm for line extraction based on image vectorization. A pre-processing step provides points that are judged to belong to linear forms. We use Constrained Delaunay Triangulation and an edge filtering process to pass from the raster format to a set of polygons that make up the vector image. The final results are provided by skeletonization of the obtained polygons. The algorithm is automatic with very little interaction from the users and has very satisfying results when tested on road segments.
  • Keywords
    computer graphics; document image processing; feature extraction; filtering theory; genetic algorithms; mesh generation; object recognition; constrained Delaunay triangulation; edge filtering process; generic algorithm; graphics recognition problems; graphics-intensive documents; image vectorization; line extraction; line recognition algorithm; Correlation; Image edge detection; Image segmentation; Pixel; Shape; Skeleton; CDT; Object recognition; Vectorization; skeletonization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2010 PROCEEDINGS
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-1-4244-6371-8
  • Electronic_ISBN
    1334-2630
  • Type

    conf

  • Filename
    5606085