Skip to main content

Shadow Elimination Mimicking the Human Visual System

  • Chapter
Brain-Inspired Information Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 266))

  • 878 Accesses

Abstract

Shadow elimination is required especially when processing images captured outdoors for object recognition. Whereas room lights make diffuse shadows, the sunlight makes strong shadows leading to misrecognition of objects or some patterns such as humans or traffic signs. To remove this harmful effect of shadows on image processing, we developed a simple algorithm mimicking a human psychological characteristic about shadow detection.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

References

  1. Kingdom, F.A.: Color brings relief to human vision. Nat. Neurosci. 6, 641–644 (2003)

    Article  Google Scholar 

  2. Lucassen, M.P., Walraven, J.: Quantifying color constancy: evidence for nonlinear processing of cone-specific contrast. Vision Res. 33, 739–757 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kamada, T., Hanazawa, A., Morie, T. (2010). Shadow Elimination Mimicking the Human Visual System. In: Hanazawa, A., Miki, T., Horio, K. (eds) Brain-Inspired Information Technology. Studies in Computational Intelligence, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04025-2_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04025-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04024-5

  • Online ISBN: 978-3-642-04025-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics