A Multi-agent Approach for Range Image Segmentation - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2007

A Multi-agent Approach for Range Image Segmentation

Zahia Guessoum
Fabien Michel
Mohamed Batouche
  • Function : Author
  • PersonId : 861091

Abstract

In this paper an agent-based segmentation approach is presented and evaluated. The approach consists in using a high number of autonomous agents for the segmentation of a range image in its different planar regions. The moving agents perform cooperative and competitive actions on the image pixels allowing a robust extraction of regions and an accurate edge detection. An artificial potential field, created around pixels of interest, allows the agents to be gathered around edges and noise regions. The results obtained with real images are compared to those of some typical methods for range image segmentation. The comparison results show the potential of the proposed approach for scene understanding in range images regarding both segmentation efficiency, and detection accuracy.
Fichier principal
Vignette du fichier
Michel_16.pdf (687.47 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-00393820 , version 1 (11-12-2019)

Identifiers

Cite

Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Mohamed Batouche. A Multi-agent Approach for Range Image Segmentation. 5th International Central and Eastern European Conference on Multi-Agent Systems (CEEMAS), Sep 2007, Leipzig, Germany. pp.1-10, ⟨10.1007/978-3-540-75254-7_1⟩. ⟨lirmm-00393820⟩
398 View
68 Download

Altmetric

Share

More