Skip to main content
SpringerLink
Log in

The Image Processing Toolbox

  • Chapter
  • First Online:
Dynamical Systems with Applications using MATLAB®

  • 11k Accesses

Abstract

Aims and Objectives

• To provide a tutorial guide to the Image Processing Toolbox

• To show how to manipulate images

• To provide tools to analyze images

• To introduce fast Fourier transforms

On completion of this chapter the reader should be able to

• use the Image Processing Toolbox;

• load and save images;

• perform analysis on color, gray scale, and black and white images;

• plot power spectra of discrete dynamical systems.

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 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
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

References

  1. W. Birkfellner, Applied Medical Image Processing: A Basic Course, 2nd edn. (Taylor & Francis, New York, 2014)

    Google Scholar 

  2. E. Brigham, Fast Fourier Transform and Its Applications (Prentice-Hall, New Jersey, 1988)

    Google Scholar 

  3. J.W. Cooley, J.W. Tukey, An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19, 297–301 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  4. O. Demirkaya, M.H. Asyali, P.K. Sahoo, Image Processing with MATLAB: Applications in Medicine and Biology (CRC Press, Florida, 2008)

    Google Scholar 

  5. Z. Elhadj, J.C. Sprott, A minimal 2-D quadratic map with quasiperiodic route to chaos. Int. J. Bifurcat. Chaos 18, 1567–1577 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  6. R.C. Gonzalez, R.E. Woods, S.L. Eddins, Digital Image Processing Using MATLAB, 2nd edn. (Gatesmark Publishing, Aurora, 2009)

    Google Scholar 

  7. E.F. James, A Student’s Guide to Fourier Transforms: With Applications in Physics and Engineering (Cambridge University Press, Cambridge, 2011)

    Book  Google Scholar 

  8. I. Melbourne, G.A. Gottwald, Power spectra for deterministic chaotic dynamical systems. Nonlinearity 21, 279–292 (2008)

    Article  MathSciNet  Google Scholar 

  9. J.L. Semmlow, Biosignal and Medical Image Processing: MATLAB-Based Applications, 2nd edn. (CRC Press, Florida, 2008)

    Google Scholar 

  10. C. Solomon, T. Breckon, Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab (Wiley, New Jersey, 2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computing and Mathematics, Manchester Metropolitan University School of Computing, Mathematics & Digital Technology, Manchester, UK

    Stephen Lynch

Authors
  1. Stephen Lynch
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Lynch, S. (2014). The Image Processing Toolbox. In: Dynamical Systems with Applications using MATLAB®. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-06820-6_7

Download citation

Publish with us

Policies and ethics

Search

Navigation