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Journal of Nuclear Cardiology

, Volume 9, Issue 3, pp 343–349 | Cite as

Digital image processing for clinicians, part I: Basics of image formation

  • Christopher L. Hansen
Review

Conclusion

Image formation is the part of digital image processing that creates the interface between the clinician and the computer. Pixel depth, resolution, and the translation table used are all important factors affecting the final image.

Keywords

Nuclear Cardiology Gray Scale Image Formation Aliasing Digital Image Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Suggested Reading

  1. 1.
    Castleman K. Digital image processing. Englewood Cliffs (NJ): Prentice Hall; 1996.Google Scholar
  2. 2.
    2.Gonzalez R, Woods R. Digital image processing. New York: Addison-Wesley; 1992.Google Scholar
  3. 3.
    Jain A. Fundamentals of digital image processing. Englewood Cliffs (NJ): Prentice-Hall; 1989.Google Scholar
  4. 4.
    Karl J. An introduction to digital signal processing. New York: Academic Press; 1989.Google Scholar
  5. 5.
    Kay S. Fundamentals of statistical signal processing. Englewood Cliffs (NJ): PTR Prentice Hall; 1993.Google Scholar
  6. 6.
    Parker A. Image reconstruction in radiology. Boston: CRC Press; 1990.Google Scholar
  7. 7.
    Pavlidis T. Algorithms for graphics and image processing. Rockville (MD): Computer Science Press; 1982.Google Scholar
  8. 8.
    Pratt W. Digital image processing. New York: John Wiley & Sons; 1991.Google Scholar

Copyright information

© American Society of Nuclear Cardiology 2002

Authors and Affiliations

  • Christopher L. Hansen
    • 1
  1. 1.Section of CardiologyTemple University School of MedicinePhiladelphia

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