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Authors: Nicolas Coudray 1 ; Argyro Karathanou 1 and Sylvie Chambon 2

Affiliations: 1 Université de Haute-Alsace, France ; 2 Laboratoire Central des Ponts et Chaussées, LCPC, France

Keyword(s): Segmentation, Multi-resolution, Road images, Cracks.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control

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.

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Paper citation in several formats:
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 (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 142-147. DOI: 10.5220/0002822801420147

@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 (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={142-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002822801420147},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - MULTI-RESOLUTION APPROACH FOR FINE STRUCTURE EXTRACTION - Application and Validation on Road Images
SN - 978-989-674-029-0
IS - 2184-4321
AU - Coudray, N.
AU - Karathanou, A.
AU - Chambon, S.
PY - 2010
SP - 142
EP - 147
DO - 10.5220/0002822801420147
PB - SciTePress