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Evaluation of the Color-Based Image Segmentation Capabilities of a Compact Mobile Robot Agent Based on Google Android Smartphone

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Trends in Practical Applications of Agents and Multiagent Systems

Abstract

This paper presents the evaluation of the image segmentation capabilities of a mobile robot agent based on a Google Android Smartphone. The mobile agent was designed to operate autonomously in an environment inspired in a soccer game. The pixel-based color image segmentation capabilities was performed by testing different two-dimensional look up tables created from two-dimensional color histograms of the objects appearing in the scenario. The best segmentation alternative was obtained when using of a two-dimensional look up table based on the H (hue) and V (value) color image description. The final conclusion is that a Google Android Smartphone has enough potential to define an autonomous mobile robot agent and play a game that requires color-based image segmentation capabilities.

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References

  1. Android Developers, http://developer.android.com

  2. The Eclipse Foundation open source community website, http://www.eclipse.org

  3. Robocup, http://www.robocup.org

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Correspondence to Dani Martínez .

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© 2013 Springer International Publishing Switzerland

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Martínez, D. et al. (2013). Evaluation of the Color-Based Image Segmentation Capabilities of a Compact Mobile Robot Agent Based on Google Android Smartphone. In: Pérez, J., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent Systems and Computing, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-319-00563-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-00563-8_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00562-1

  • Online ISBN: 978-3-319-00563-8

  • eBook Packages: EngineeringEngineering (R0)

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