IMAGE RE-SEGMENTATION - A New Approach Applied to Urban Imagery
Thales Sehn Korting, Leila Maria Garcia Fonseca, Luciano Vieira Dutra, Felipe Castro da Silva
2008
Abstract
This article presents a new approach for image segmentation applied to urban imagery. The proposed method is called re-segmentation because it uses a previous over-segmented image as input to generate a new set of objects more adequate to the application of interest. For urban objects such as roofs, building and roads, the algorithm tries to generate rectangular objects by merging and cutting operations in a weighted Region Adjacency Graph. Objects whose union generate larger regular objects are merged or otherwise cut. In order to verify the potential of the method, two experimental results using Quickbird images are presented.
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in Harvard Style
Sehn Korting T., Garcia Fonseca L., Vieira Dutra L. and Castro da Silva F. (2008). IMAGE RE-SEGMENTATION - A New Approach Applied to Urban Imagery . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 467-472. DOI: 10.5220/0001088104670472
in Bibtex Style
@conference{visapp08,
author={Thales Sehn Korting and Leila Maria Garcia Fonseca and Luciano Vieira Dutra and Felipe Castro da Silva},
title={IMAGE RE-SEGMENTATION - A New Approach Applied to Urban Imagery},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={467-472},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001088104670472},
isbn={978-989-8111-21-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - IMAGE RE-SEGMENTATION - A New Approach Applied to Urban Imagery
SN - 978-989-8111-21-0
AU - Sehn Korting T.
AU - Garcia Fonseca L.
AU - Vieira Dutra L.
AU - Castro da Silva F.
PY - 2008
SP - 467
EP - 472
DO - 10.5220/0001088104670472