Overview: Segmentation

  • Christian Demant
  • Carsten GarnicaEmail author
  • Bernd Streicher-Abel


The concept of an object is central to the solution approach in Sect. 1.5. Indeed, it is decisive for the nature of industrial image processing since its purpose is always to gather information about objects existing in the real world represented in image scenes. In the introductory example in Sect. 1.6 and throughout Chap. 3 on positioning we have frequently used segmentation methods, i.e. algorithms which isolate objects from the scene. In these sections we have simply assumed that such methods exist and achieve the desired effects. Over time a number of such methods have been developed. The most important and most commonly used will be introduced in this chapter.


Gray Level Search Line Template Match Edge Point 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.


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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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