Laser Line Segmentation with Dynamic Line Models

  • Jost Schnee
  • Jörg Futterlieb
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6854)

Abstract

Model based segmentation methods make use of a priori knowledge of the object to improve the segmentation results. Taking advantage of global information makes these methods less sensitive to local interferences like noise or line gaps. Laser lines from optical sensors are deformed due to the geometry of the measured object. Therefore we use dynamic models for robust and fast segmentation of a laser line.

Keywords

Control Point Laser Line Line Model Peak Detector Intensity Sensor 
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 2011

Authors and Affiliations

  • Jost Schnee
    • 1
  • Jörg Futterlieb
    • 1
  1. 1.Fraunhofer Institute for Factory Operation and Automation IFFBusiness Unit of Measurement and Testing TechnologyGermany

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