DETECTION OF ROAD CRACKS WITH MULTIPLE IMAGES

Sylvie Chambon

Abstract

Extracting the defects of the road pavement in images is difficult and, most of the time, one image is used alone. The difficulties of this task are: illumination changes, objects on the road, artefacts due to the dynamic acquisition. In this work, we try to solve some of these problems by using acquisitions from different points of view. In consequence, we present a new methodology based on these steps : the detection of defects in each image, the matching of the images and the merging of the different extractions. We show the increase in performances and more particularly how the false detections are reduced.

References

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Paper Citation


in Harvard Style

Chambon S. (2010). DETECTION OF ROAD CRACKS WITH MULTIPLE IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 349-354. DOI: 10.5220/0002832903490354


in Bibtex Style

@conference{visapp10,
author={Sylvie Chambon},
title={DETECTION OF ROAD CRACKS WITH MULTIPLE IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={349-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002832903490354},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - DETECTION OF ROAD CRACKS WITH MULTIPLE IMAGES
SN - 978-989-674-028-3
AU - Chambon S.
PY - 2010
SP - 349
EP - 354
DO - 10.5220/0002832903490354