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Introduction

  • Christian Demant
  • Carsten GarnicaEmail author
  • Bernd Streicher-Abel
Chapter
  • 1.8k Downloads

Abstract

With ever increasing demands regarding product quality and documentation, industrial vision has become a key technology. Meanwhile the use of industrial vision systems in automated manufacturing goes without saying. However, there is in many cases a lack of understanding for this modern technology. This book was written in order to remedy this condition, which was in part created by the vision industry itself. As with all areas in which PCs are increasingly used, a trend to give the user more possibilities for application development became apparent in image processing. This makes it also necessary to equip the user with adequate know-how.

Keywords

Search Line Digital Image Processing Character Recognition Inspection System Image Scene 
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

  1. Jähne B, Massen R, Nickolay B, Scharfenberg H (1995) Technische Bildverarbeitung—Maschinelles Sehen. Springer, BerlinGoogle Scholar
  2. Russ JC (2007) The image processing handbook, 5th edn. CRC Press, Boca RatonGoogle Scholar
  3. Sonka M, Hlavac V, Roger B (2008) Image processing, analysis, and machine vision, 3rd edn. Cengage Learning, StamfordGoogle Scholar
  4. Steger C, Ulrich M, Wiedemann C (2008) Machine vision algorithms and applications. Wiley, VCH-Verlag WeinheimGoogle Scholar

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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