Skip to main content

Applications and Tools

  • Chapter

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   139.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

1.9 Further Readings

  1. C. M. Bishop. Neural Networks for Pattern Recognition. Clarendon, Oxford, 1995.

    Google Scholar 

  2. R. Chelappa. Digital Image Processing. IEEE Computer Society Press, Los Alamitos, CA, 1992.

    Google Scholar 

  3. C. Demant, B. Streicher-Abel, and P. Waszkewitz. Industrial Image Processing. Viusal Quality Control in Manufacturing. Springer, Berlin, 1999. Includes CD-ROM.

    Google Scholar 

  4. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wlley, New York, 2nd edn., 2001.

    Google Scholar 

  5. O. Faugeras. Three-dimensional Computer Vision. A Geometric Vewpoint. MIT Press, Cambridge, MA, 1993.

    Google Scholar 

  6. O. Faugeras and Q.-T. Luong. The Geometry of Multiple Images. MIT Press, Cambdridge, MA, 2001.

    Google Scholar 

  7. M. A. Fischler and O. Firschein, eds. Readings in Computer Vision: Issues, Problems, Principles, and Paradigms. Morgan Kaufmann, Los Altos, CA, 1987.

    Google Scholar 

  8. D. A. Forsyth and J. Ponce. Computer Vision, a Modern Approach. Prentice Hall, Upper Saddle River, NJ, 2003.

    Google Scholar 

  9. R. C. Gonzalez and R. E. Woods. Digital image processing. Prentice Hall, Upper Saddle River, NJ, 2nd edn., 2002.

    Google Scholar 

  10. G. H. Granlund and H. Knutsson. Signal Processing for Computer Vision. Kluwer, 1995.

    Google Scholar 

  11. E. M. Haacke, R. W. Brown, M. R. Thompson, and R. Venkatesan. Magnetic Resonance Imaging: Physical Principles and Sequence Design. John Wiley & Sons, New York, 1999.

    Google Scholar 

  12. G. C. Holst. CCD Arrays, Cameras, and Displays. SPIE, Bellingham, WA, 2nd edn., 1998.

    Google Scholar 

  13. B. K. Horn. Robot Vision. MIT Press, Cambridge, MA, 1986.

    Google Scholar 

  14. S. Howell. Handbook of CCD Astronomy. Cambridge University Press, Cambridge, 2000.

    Google Scholar 

  15. B. Jähne. Handbook of Digital Image Processing for Scientific Applications. CRC Press, Boca Raton, FL, 1997.

    Google Scholar 

  16. B. Jähne, H. Haußecker, and P. Geißler, eds. Handbook of Computer Vision and Applications. Volume I: Sensors and Imaging. Volume II: Signal Processing and Pattern Recognition. Volume III: Systems and Applications. Academic Press, San Diego, 1999. Includes three CD-ROMs.

    Google Scholar 

  17. A. K. Jain. Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs, NJ, 1989.

    Google Scholar 

  18. R. Jain, R. Kasturi, and B. G. Schunck. Machine Vision. McGraw-Hill, New York, 1995.

    Google Scholar 

  19. J. R. Janesick. Scientific Charge-Coupled Devices. SPIE, Bellingham, WA, 2001.

    Google Scholar 

  20. B. Y. Kasturi and R. C. Jain. Computer Vision: Advances and Applications. IEEE Computer Society, Los Alamitos, 1991.

    Google Scholar 

  21. B. Y. Kasturi and R. C. Jain, eds. Computer Vision: Principles. IEEE Computer Society, Los Alamitos, 1991.

    Google Scholar 

  22. M. Levine. Vision in Man and Machine. McGraw-Hill, New York, 1985.

    Google Scholar 

  23. Z.-P. Liang and P. C. Lauterbur. Principles of Magnetic Resonance Imaging: A Signal Processing Perspective. SPIE, Bellingham, WA, 1999.

    Google Scholar 

  24. J. S. Lim. Two-dimensional Signal and Image Processing. Prentice-Hall, Englewood Cliffs, NJ, 1990.

    Google Scholar 

  25. H. A. Mallot. Computational Vision: Information Processing in Perception and Visual Behavior. The MIT Press, Cambridge, MA, 2000.

    Google Scholar 

  26. D. G. Mitchell and M. S. Cohen. MRI Principles. Saunders, Philadelphia, 2nd edn., 2004.

    Google Scholar 

  27. V. S. Nalwa. A Guided Tour of Computer Vision. Addison-Wesley, Reading, MA, 1993.

    Google Scholar 

  28. J. Ohser and F. Mücklich. Statistical Analysis of Microstructures in Material Science. Wiley, Chicester, England, 2000.

    Google Scholar 

  29. J. R. Parker. Algorithms for Image Processing and Computer Vision. John Wiley & Sons, New York, 1997. Includes CD-ROM.

    Google Scholar 

  30. I. Pitas. Digital Image Processing Algorithms. Prentice Hall, New York, 1993.

    Google Scholar 

  31. W. K. Pratt. Digital image processing, PIKS Inside. Wiley, New York, 3rd edn., 2001.

    Google Scholar 

  32. J. A. Richards and X. Jia. Remote Sensing Digital Image Analysis. Springer, Berlin, 1999.

    Google Scholar 

  33. A. Rosenfeld and A. C. Kak. Digital Picture Processing, vol. I and II. Academic Press, San Diego, 2nd edn., 1982.

    Google Scholar 

  34. J. C. Russ. The Image Processing Handbook. CRC, Boca Raton, FL, 4th edn., 2002.

    Google Scholar 

  35. B. Schöllkopf and A. J. Smola. Learning with Kernels, Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, 2002.

    Google Scholar 

  36. J. R. Schott. Remote Sensing. The Image Chain Approach. Oxford University Press, New York, 1997.

    Google Scholar 

  37. J. Schürmann. Pattern Classification. John Wiley & Sons, New York, 1996.

    Google Scholar 

  38. L. G. Shapiro and G. C. Stockman. Computer Vision. Prentice Hall, Upper Saddle River, NJ, 2001.

    Google Scholar 

  39. S. Ullman. High-level Vision. Object Recognition and Visual Cognition. The MIT Press, Cambridge, MA, 1996.

    Google Scholar 

  40. S. E. Umbaugh. Computer Vision and Image Processing: A Practical Approach Using CVIPTools. Prentice Hall PTR, Upper Saddle River, NJ, 1998.

    Google Scholar 

  41. F. van der Heijden. Image Based Measurement Systems. Object Recognition and Parameter Estimation. Wiley, Chichester, England, 1994.

    Google Scholar 

  42. K. Voss and H. Süße. Praktische Bildverarbeitung. Hanser, München, 1991.

    Google Scholar 

  43. B. A. Wandell. Foundations of Vision. Sinauer Ass., Sunderland, MA, 1995.

    Google Scholar 

  44. J. N. Wilson and G. X. Ritter. Handbook of Computer Vision Algorithms in Image Algebra. CRC, Boca Raton, FL, 2nd edn., 2000.

    Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag

About this chapter

Cite this chapter

(2005). Applications and Tools. In: Digital Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27563-0_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-27563-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24035-8

  • Online ISBN: 978-3-540-27563-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics