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A Distributed and Collective Approach for Curved Object-Based Range Image Segmentation

Smaine Mazouzi 1 Zahia Guessoum 2 Fabien Michel 3
2 SMA - Systèmes Multi-Agents
LIP6 - Laboratoire d'Informatique de Paris 6
3 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we use multi-agent paradigm in order to propose a new method of image segmentation. The images considered in this work are the range images which can contain at once polyhedral and curved objects. The proposed method uses a multi-agent approach where agents align the region borders to the surrounding surfaces which make emerging a collective segmentation of the image. The agents move on the image and when they arrive on the pixels of a region border they align these pixels to their respective surfaces. The resulting competitive alignment allows at once the emergence of the image edges and the disappearance of the noise regions. The test results obtained with real images show a good potential of the new method for accurate image segmentation.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00520949
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Smaine Mazouzi, Zahia Guessoum, Fabien Michel. A Distributed and Collective Approach for Curved Object-Based Range Image Segmentation. 14th Iberoamerican Conference on Pattern Recognition (CIARP), Nov 2009, Guadalajara, Mexico. pp.201-208, ⟨10.1007/978-3-642-10268-4_24⟩. ⟨lirmm-00520949⟩

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