Skip to main content
SpringerLink
Log in

Image to CAD: Feature Extraction and Translation of Raster Image of CAD Drawing to DXF CAD Format

  • Conference paper
  • First Online:
Computer Vision and Image Processing (CVIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1147))

Included in the following conference series:

Abstract

A CAD drawing has various drawing features like entity lines, dimensional lines, dimensional arrows, dimensional text, support lines, reference lines, Circles, GD&T symbols and drawing information metadata. The problem of automated or semi-automated recognition of feature entities from 2D CAD drawings in the form of raster images has multiple usages in various scenarios. The present research work explores the ways to extract this information about the entities from 2D CAD drawings raster images and to set up a workflow to do it in automated or semi-automated way. The algorithms and workflow have been tested and refined using a set of test CAD images which are fairly representative of the CAD drawings encountered in practice. The overall success rate of the proposed process is 90% in fully automated mode for the given sample of the test images. The proposed algorithms presented here are evaluated based on F1 scores. The proposed algorithm is used to generate user editable DXF CAD file from raster images of CAD drawings which could be then used to update/edit the CAD model when required using CAD packages. The research work also provides use cases of this workflow for other applications.

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

Access this chapter

Log in via an institution
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 EPUB and 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

References

  1. AutoCAD (2012) DXF Reference autocad 2012. https://images.autodesk.com/adsk/files/autocad_2012_pdf_dxf-reference_enu.pdf

  2. Ballard, D.H.: Generalizing the hough transform to detect arbitrary shapes. Pattern Recognit. 13(2), 111–122 (1981)

    Article  Google Scholar 

  3. Bessmeltsev, M., Solomon, J.: Vectorization of line drawings via polyvector fields. ACM Trans. Graphics (TOG) 38(1), 9 (2019)

    Article  Google Scholar 

  4. Chen, J., Du, M., Qin, X., Miao, Y.: An improved topology extraction approach for vectorization of sketchy line drawings. Vis. Comput. 34(12), 1633–1644 (2018). https://doi.org/10.1007/s00371-018-1549-z

    Article  Google Scholar 

  5. Chhabra, A.K., Phillips, I.T.: Performance evaluation of line drawing recognition systems. In: 2000 15th International Conference on Pattern Recognition, Proceedings, vol. 4, pp. 864–869. IEEE (2000)

    Google Scholar 

  6. Donati, L., Cesano, S., Prati, A.: A complete hand-drawn sketch vectorization framework. Multimedia Tools Appl. 78(14), 19083–19113 (2019)

    Article  Google Scholar 

  7. Goutsias, J., Heijmans, H.J., Sivakumar, K.: Morphological operators for image sequences. Comput. Vis. Image Underst. 62(3), 326–346 (1995)

    Article  Google Scholar 

  8. Intwala, A.M., Magikar, A.: A review on process of 3D model reconstruction. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp 2851–2855. IEEE (2016)

    Google Scholar 

  9. Intwala, A.M., Kharade, K., Chaugule, R., Magikar, A.: Dimensional arrow detection from CAD drawings. Indian J. Sci. Technol. 9(21), 1–7 (2016)

    Article  Google Scholar 

  10. Narayan, K., Kannaiah, P., Venkata Reddy, K.: Machine Drawing. New Age International Publishers, New Delhi (2006)

    Google Scholar 

  11. Shen, Z., Shah, J.J., Davidson, J.K.: Analysis neutral data structure for GD&T. J. Intell. Manuf. 19(4), 455–472 (2008)

    Article  Google Scholar 

  12. Suzuki, K.: Pixel-based artificial neural networks in computer-aided diagnosis. In: Artificial Neural Networks-Methodological Advances and Biomedical Applications, pp 71–92. InTech (2011)

    Google Scholar 

  13. Trajković, M., Hedley, M.: Fast corner detection. Image Vis. Comput. 16(2), 75–87 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Symbiosis Institute of Technology, Pune, India

    Aditya Intwala

Authors
  1. Aditya Intwala
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aditya Intwala .

Editor information

Editors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Neeta Nain

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Santosh Kumar Vipparthi

  3. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Intwala, A. (2020). Image to CAD: Feature Extraction and Translation of Raster Image of CAD Drawing to DXF CAD Format. In: Nain, N., Vipparthi, S., Raman, B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1147. Springer, Singapore. https://doi.org/10.1007/978-981-15-4015-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-4015-8_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4014-1

  • Online ISBN: 978-981-15-4015-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation