• DocumentCode
    2058524
  • Title

    Arc segmentation from complex line environments-a vector-based stepwise recovery algorithm

  • Author

    Dori, Dov ; Wenyin, Liu

  • Author_Institution
    Fac. of Ind. Eng. & Manage., Technion-Israel Inst. of Technol., Haifa, Israel
  • Volume
    1
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    76
  • Abstract
    Accurate arc segmentation, essential for high level engineering drawing understanding is very difficult due to noise, clutter, tangency, and intersections with other geometry objects. We present an application of a generic methodology for recognition of multicomponent graphic objects in engineering drawings to the segmentation of circular arcs. The underlying mechanism is a sequential stepwise recovery of components that are segmented as wire fragments during the sparse pixel vectorization process and meet a set of continuity conditions. Proper threshold selection and consistent checking of co-circularity of the assumed arc pieces result in an accurate arc segmentation method
  • Keywords
    document image processing; engineering graphics; image segmentation; object recognition; accurate arc segmentation; arc segmentation method; circular arc segmentation; co-circularity; complex line environments; consistent checking; continuity conditions; generic methodology; geometry objects; high level engineering drawing understanding; multicomponent graphic object recognition; sequential stepwise recovery; sparse pixel vectorization process; threshold selection; vector based stepwise recovery algorithm; wire fragments; Bars; Equations; Geometry; Hydrogen; Image sampling; Phase detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.619817
  • Filename
    619817