Skip to main content

Image Segmentation

  • Chapter
  • First Online:
Digital Image Processing using SCILAB
  • 1841 Accesses

Abstract

This chapter covers basic theories of image segmentation, including information on edge detection algorithms. SCILAB codes for these theories and example images are provided.

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 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover 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

Bibliography

  1. Gonzalez, R., & Woods, R. (2008). Digital image processing. Upper Saddle River: Pearson Education India.

    Google Scholar 

  2. Gonzalez, R., Woods, R., & Eddins, L. (2009). Digital image processing using MATLAB. New Delhi: TATA McGraw-Hill Education.

    Google Scholar 

  3. Roberts, L. G. (1965) Machine perception of three-dimensional solids. Massachusetts Institute of Technology, USA. http://www.packet.cc/files/mach-per-3D-solids.html

  4. Canny, J. (1986). A computational approach to edge detection. IEEE Transaction on Pattern Analysis and Machine Intelligence, 8(6), 679–698.

    Article  Google Scholar 

  5. Trivedi, D., Kothari, M., Shah, S., & Shingala, N. (2014). Dental image matching by Canny algorithm for human identification. International Journal of Advanced Computer Research, 4(17), 985–990.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Thanki, R.M., Kothari, A.M. (2019). Image Segmentation. In: Digital Image Processing using SCILAB. Springer, Cham. https://doi.org/10.1007/978-3-319-89533-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-89533-8_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-89532-1

  • Online ISBN: 978-3-319-89533-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics