• DocumentCode
    2629811
  • Title

    Detection of dimension sets in engineering drawings

  • Author

    Lai, Chan Pyng ; Kasturi, Rangachar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    1993
  • fDate
    20-22 Oct 1993
  • Firstpage
    606
  • Lastpage
    613
  • Abstract
    A system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards is presented. A new rule-based text/graphics separation algorithm and a model-based procedure for detecting arrowheads in any orientation have been developed. Arrowhead tracking and search methods are used to extract leaders, tails, and witness lines from segmented images containing only graphics. Text blocks and feature control frames extracted from the segmented images are then associated with their corresponding leaders to obtain complete dimension sets. Object lines are then separated from centerlines and hatching lines. Experimental results are presented
  • Keywords
    ANSI standards; engineering graphics; expert systems; feature extraction; image segmentation; ANSI drafting standards; arrowhead tracking; complete dimension sets; dimension set detection; engineering drawings; feature control frames; hatching lines; leaders; model-based procedure; rule-based text/graphics separation; search methods; segmented images; tails; text blocks; witness lines; ANSI standards; Computer graphics; Engineering drawings; Feature extraction; Image segmentation; Phase detection; Search methods; Tail; Technical drawing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    0-8186-4960-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1993.395662
  • Filename
    395662