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Authors: Benoît Naegel and Laurent Wendling

Affiliation: LORIA UMR 7503, Nancy University, France

Keyword(s): Component-tree, Segmentation, Classification, Mathematical morphology, Ancient graphical drop caps.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Image Formation and Preprocessing ; Mathematical Morphology ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Segmentation and Grouping ; Sensor Networks ; Soft Computing

Abstract: The component-tree structure allows to analyse the connected components of the threshold sets of an image by means of various criteria. In this paper we propose to extend the component-tree structure by associating robust shape-descriptors to its nodes. This allows an efficient shape based classification of the image connected components. Based on this strategy, an original and generic methodology for object recognition is presented. This methodology has been applied to segment and recognize ancient graphical drop caps.

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Paper citation in several formats:
Naegel, B. and Wendling, L. (2009). COMBINING SHAPE DESCRIPTORS AND COMPONENT-TREE FOR RECOGNITION OF ANCIENT GRAPHICAL DROP CAPS. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 297-302. DOI: 10.5220/0001775502970302

@conference{visapp09,
author={Benoît Naegel. and Laurent Wendling.},
title={COMBINING SHAPE DESCRIPTORS AND COMPONENT-TREE FOR RECOGNITION OF ANCIENT GRAPHICAL DROP CAPS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={297-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001775502970302},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - COMBINING SHAPE DESCRIPTORS AND COMPONENT-TREE FOR RECOGNITION OF ANCIENT GRAPHICAL DROP CAPS
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Naegel, B.
AU - Wendling, L.
PY - 2009
SP - 297
EP - 302
DO - 10.5220/0001775502970302
PB - SciTePress