• DocumentCode
    1695895
  • Title

    A fast method for identifying graphical objects in large engineering drawings

  • Author

    Chakraborty, Ami T.

  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    794
  • Abstract
    Document processing and understanding is important for a variety of applications such as office automation, creation of electronic manuals, online documentation and annotation etc. However the understanding and identifying of graphical objects in large engineering drawings which often can be of the order of 10000×10000 pixels using traditional methods can be a very challenging and time consuming task due to the sheer size. We describe a method that circumvents that by using a hierarchical top-down approach for recognizing graphical objects. The speedup is almost of the order of 1000 and this is achieved by following a strategy that exploits the characteristics of such diagrams such as low pixel density
  • Keywords
    document image processing; engineering computing; object recognition; document processing; document understanding; graphical object recognition; hierarchical top-down approach; large engineering drawings; pixel density; Ambient intelligence; Automation; Books; Computational complexity; Documentation; Engineering drawings; Pattern matching; Smoothing methods; TV; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959165
  • Filename
    959165