• DocumentCode
    1137976
  • 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
  • Volume
    16
  • Issue
    8
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    848
  • Lastpage
    855
  • Abstract
    This correspondence presents a system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards. 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 than associated with their corresponding leaders to obtain complete dimension sets. Experimental results are presented
  • Keywords
    document image processing; engineering computing; image recognition; image segmentation; ANSI drafting standards; arrowhead tracking; dimension sets; engineering drawings; feature control frames; leaders; model-based procedure; rule-based text/graphics separation algorithm; search methods; segmented images; tails; text blocks; ANSI standards; Computer aided manufacturing; Design automation; Engineering drawings; Graphics; Image analysis; Image segmentation; Pattern recognition; Tail; Technical drawing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.308483
  • Filename
    308483