Skip to main content

A Vectorization System for Architecture Engineering Drawings

  • Conference paper
Graphics Recognition. Ten Years Review and Future Perspectives (GREC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3926))

Included in the following conference series:

Abstract

This paper presents a vectorization system for architecture engineering drawings. The system employs the line-symbol-text vectorization workflow to recognize graphic objects in the order of increasing characteristic complexity and progressively simplify the drawing image by removing recognized objects from it. Various recognition algorithms for basic graphic types have been developed and efficient interactive recognition methods are proposed as complements to automatic processing. Based on dimension recognition and analysis, the system reconstructs the literal dimension for vectorization results, which yields optimized vector data for CAD applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tombre, K.: Analysis of engineering drawings: state of the art and challenges. In: Chhabra, A.K., Tombre, K. (eds.) GREC 1997. LNCS, vol. 1389, pp. 257–264. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  2. Dori, D., Liu, W.: Automated CAD conversion with the machine drawing understanding system: Concepts, algorithm, and performance. IEEE Trans. on System, Man, and Cybernetics-part A: System and Humans 29(4), 411–416 (1999)

    Article  Google Scholar 

  3. Doermann, D.S.: An introduction to vectorization and segmentation. In: Chhabra, A.K., Tombre, K. (eds.) GREC 1997. LNCS, vol. 1389, pp. 1–8. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Yu, Y., Samal, A., Seth, S.C.: A system for recognizing a large class of engineering drawings. IEEE Trans. on Pattern Analysis and Machine Intelligence 19(8), 868–890 (1997)

    Article  Google Scholar 

  5. Song, J., Su, F., Tai, C.-L., Cai, S.: An object-oriented progressive-simplification-based vectorization system for engineering drawings: model, algorithm, and performance. IEEE Trans. on Pattern Analysis and Machine Intelligence 24(8), 1048–1060 (2002)

    Article  Google Scholar 

  6. Song, J., Su, F., Cheng, J., Cai, S.: A knowledge-aided line network oriented vectorization method for engineering drawings. Pattern Analysis and Application 3(2), 142–152 (2000)

    Article  Google Scholar 

  7. Dori, D.: A syntactic/geometric approach to recognition of dimensions in engineering machine drawings. Computer Vision, Graphics and Image Processing 47, 271–291 (1989)

    Article  Google Scholar 

  8. Lai, C.P., Kasturi, R.: Detection of dimension sets in engineering drawings. IEEE Trans. on Pattern Analysis and Machine Intelligence 16(8), 848–855 (1994)

    Article  Google Scholar 

  9. Lin, S.C., Ting, C.K.: A new approach for detection of dimensions set in mechanical drawings. Pattern Recognition Letters 18(4), 367–373 (1997)

    Article  Google Scholar 

  10. Su, F., Song, J., Tai, C.-L., Cai, S.: Dimension recognition and geometry reconstruction in vectorization of engineering drawings. In: IEEE Proc. of Conf. on Computer Vision and Pattern Recognition, Hawaii, vol. 1, pp. 710–716 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Su, F., Song, J., Cai, S. (2006). A Vectorization System for Architecture Engineering Drawings. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_2

Download citation

  • DOI: https://doi.org/10.1007/11767978_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34711-8

  • Online ISBN: 978-3-540-34712-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics