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Authors: Jorge Novo ; Manuel G. Penedo and José Santos

Affiliation: University of A Coruña, Spain

Keyword(s): Deformable segmentation models, Genetic algorithms, Evolutionary multiobjective optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Soft Computing ; Vision and Perception

Abstract: In this work it is proposed an evolutionary multiobjective methodology for the optimization of topological active volumes. This is a 3D deformable model that integrates features of region-based and boundary-based segmentation techniques. The model deformation is controlled by energy functions that must be minimized. Most optimization algorithms need an experimental tuning of the energy parameters of the model in order to obtain the best adjusted segmentation. To avoid the step of the parameter tuning, we developed an evolutionary multiobjective optimization that considers the optimization of several objectives in parallel. The proposed methodology is based on the SPEA2 algorithm, adapted to our application, to obtain the Pareto optimal individuals. The proposed method was tested on several representative images from different domains yielding highly accurate results.

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Paper citation in several formats:
Novo, J.; G. Penedo, M. and Santos, J. (2011). MULTIOBJECTIVE OPTIMIZATION OF THE 3D TOPOLOGICAL ACTIVE VOLUME SEGMENTATION MODEL. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 236-241. DOI: 10.5220/0003144302360241

@conference{icaart11,
author={Jorge Novo. and Manuel {G. Penedo}. and José Santos.},
title={MULTIOBJECTIVE OPTIMIZATION OF THE 3D TOPOLOGICAL ACTIVE VOLUME SEGMENTATION MODEL},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={236-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003144302360241},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - MULTIOBJECTIVE OPTIMIZATION OF THE 3D TOPOLOGICAL ACTIVE VOLUME SEGMENTATION MODEL
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Novo, J.
AU - G. Penedo, M.
AU - Santos, J.
PY - 2011
SP - 236
EP - 241
DO - 10.5220/0003144302360241
PB - SciTePress

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