A GENERIC CONCEPT FOR OBJECT-BASED IMAGE ANALYSIS

André Homeyer, Michael Schwier, Horst K. Hahn

2010

Abstract

Object-based image analysis enables the recognition of complex image structures that are intractable to conventional pixel-based methods. To date, there is no generally accepted approach for the object-based processing of images, thus making it difficult to transfer developments. In this paper, we propose a generic concept for object-based image analysis that is broadly applicable and founded on established methodologies, such as the attributed relational graph, the relational data model and statistical classifiers. We also describe a reference implementation of the concept as part of the MeVisLab image processing platform.

Paper Citation

in Harvard Style

Homeyer A., Schwier M. and K. Hahn H. (2010). A GENERIC CONCEPT FOR OBJECT-BASED IMAGE ANALYSIS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 530-533. DOI: 10.5220/0002848105300533

in Bibtex Style

@conference{visapp10,
author={André Homeyer and Michael Schwier and Horst K. Hahn},
title={A GENERIC CONCEPT FOR OBJECT-BASED IMAGE ANALYSIS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={530-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002848105300533},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - A GENERIC CONCEPT FOR OBJECT-BASED IMAGE ANALYSIS
SN - 978-989-674-029-0
AU - Homeyer A.
AU - Schwier M.
AU - K. Hahn H.
PY - 2010
SP - 530
EP - 533
DO - 10.5220/0002848105300533