A Color Segmentation Algorithm for Real-Time Object Localization on Small Embedded Systems

  • Philippe Leclercq
  • Thomas Bräunl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1998)


We present an approach to color segmentation and object localization for small-embedded systems. The algorithm defines sub-spaces in the main color space (RGB), each sub-space being a color class. A look-up table is used to speed up pixel classification in color classes. A binary image is computed for every color class. After noise reduction, we obtain a color class pixel list; after each object’s image coordinates are found and transformed to world-coordinates depending on the camera position.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Philippe Leclercq
    • 1
  • Thomas Bräunl
    • 1
  1. 1.Center for Intelligent Information Processing Systems Department of Electrical and Electronic EngineeringThe University of Western AustraliaAustralia

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