DETECTION OF POINTS OF INTEREST FOR GEODESIC CONTOURS - Application on Road Images for Crack Detection

Sylvie Chambon

Abstract

A new algorithm of automatic extraction of thin structures in textured images is introduced, and, more specifically, is applied to detection of road cracks. The method is based on two steps: the first one consists in detecting points of interest inside the thin structure whereas the second step connects the points with a geodesic contour process. The main contribution of this work is the study of automatic detection of points of interest inside thin structures in a high-textured background. The results are compared with a Markovian segmentation.

References

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Paper Citation


in Harvard Style

Chambon S. (2011). DETECTION OF POINTS OF INTEREST FOR GEODESIC CONTOURS - Application on Road Images for Crack Detection . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 210-213. DOI: 10.5220/0003333002100213


in Bibtex Style

@conference{visapp11,
author={Sylvie Chambon},
title={DETECTION OF POINTS OF INTEREST FOR GEODESIC CONTOURS - Application on Road Images for Crack Detection},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={210-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003333002100213},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - DETECTION OF POINTS OF INTEREST FOR GEODESIC CONTOURS - Application on Road Images for Crack Detection
SN - 978-989-8425-47-8
AU - Chambon S.
PY - 2011
SP - 210
EP - 213
DO - 10.5220/0003333002100213