MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images

Nicolas Coudray, Argyro Karathanou, Sylvie Chambon

2010

Abstract

In the context of fine structure extraction, this paper presents a new method based on multi-resolution segmentation applied for the detection of road cracks. A method already developed to detected low-contrasted biological membranes has been adapted to detect cracks on images: crack features are defined as heterogeneities rather than transitions of closed regions characterizing the membranes. This new methodology is quantitatively validated on reference segmentations and compared to an adapted filtering and Markovian modelling algorithm.

Paper Citation

in Harvard Style

Coudray N., Karathanou A. and Chambon S. (2010). MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 142-147. DOI: 10.5220/0002822801420147

in Bibtex Style

@conference{visapp10,
author={Nicolas Coudray and Argyro Karathanou and Sylvie Chambon},
title={MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={142-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002822801420147},
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 - MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images
SN - 978-989-674-029-0
AU - Coudray N.
AU - Karathanou A.
AU - Chambon S.
PY - 2010
SP - 142
EP - 147
DO - 10.5220/0002822801420147