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Overview: Image Preprocessing

  • Christian Demant
  • Carsten GarnicaEmail author
  • Bernd Streicher-Abel
Chapter
  • 1.9k Downloads

Abstract

Preprocessing algorithms frequently form the first processing step after capturing the image, as you will see in many of the examples in the following chapters. Therefore, we will start the overview chapters with an introduction to image preprocessing. Gonzalez and Woods (2008) present a comprehensive overview. To give a clear conceptual idea of the effect of the various operations we will use very simple synthetic sample images in this chapter. The application examples in the following chapters use many of these algorithms on real-world industrial images.

Keywords

Gray Level Source Image Output Image Filter Weight Filter Kernel 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christian Demant
    • 1
  • Carsten Garnica
    • 1
    Email author
  • Bernd Streicher-Abel
    • 1
  1. 1.NeuroCheck GmbHRemseckGermany

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