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Digital Signal Processing and Computer Vision

  • Albert Ting-pat So
  • Wai Lok Chan
Part of the The International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 5)

Abstract

Signal processing refers to the science of analysing physical processes. In digital signal processing the value of the signal is only known at discrete instants in time. The digital signals may be manipulated arithmetically or filtered with a digital filter. The new signal can be converted back to the analog world by using a digital-to-analog converter (DAC). Computer vision is used to embody the idea of automatically extracting useful information from an image. This information can be used in subsequent decision making. An image can be assumed to be a group of points that can be defined in a two-dimensional position by two variables.

Keywords

Discrete Fourier Transform Digital Signal Processing Digital Filter Stop Band Infinite Impulse Response 
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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References

  1. [1]
    Lyons Richard G., Understanding Digital Signal Processing, Addison Wesley Longman, Inc., USA, 1997.Google Scholar
  2. [2]
    Marven Craig and Ewers Gillian, A Simple Approach to Digital Signal Processing, Alden Press Ltd., UK, 1993.Google Scholar
  3. [3]
    Matteson Ronald G., Introduction to Document Image Processing Techniques, Artech house, inc, USA, 1995.Google Scholar
  4. [4]
    Lewis Rhys, Practical Digital Image Processing, Ellis Horwood Ltd., UK, 1990.Google Scholar
  5. [5]
    David Vernon, Machine Vision, Prentice Hall International Ltd., UK, 1991.Google Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Albert Ting-pat So
    • 1
    • 3
  • Wai Lok Chan
    • 1
    • 2
  1. 1.Johnson Controls Intelligent Building Research CentreCity University of Hong KongChina
  2. 2.Hong Kong Polytechnic UniversityChina
  3. 3.City University of Hong KongChina

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