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Authors: Gianfranco Fenu 1 ; Nikita Jain 2 ; Eric Medvet 1 ; Felice Andrea Pellegrino 1 and Myriam Pilutti Namer 3

Affiliations: 1 University of Trieste, Italy ; 2 Delhi Technological University, India ; 3 Ca' Foscari University of Venice, Italy

Keyword(s): Image Segmentation, Superpixel, Comparative Evaluation, Cultural Heritage Preservation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration) ; Segmentation and Grouping

Abstract: The present paper deals with automatic segmentation of mosaics, whose aim is obtaining a digital representation of the mosaic where the shape of each tile is recovered. This is an important step, for instance, for preserving ancient mosaics. By using a ground-truth consisting of a set of manually annotated mosaics, we objectively compare the performance of some existing recent segmentation methods, based on a simple error metric taking into account precision, recall and the error on the number of tiles. Moreover, we introduce some mosaic-specific hardness estimators (namely some indexes of how difficult is the task of segmenting a particular mosaic image). The results show that the only segmentation algorithm specifically designed for mosaics performs better than the general purpose algorithms. However, the problem of segmentation of mosaics appears still partially unresolved and further work is needed for exploiting the specificity of mosaics in designing new segmentation algorithms.

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Paper citation in several formats:
Fenu, G.; Jain, N.; Medvet, E.; Pellegrino, F. and Namer, M. (2015). On the Assessment of Segmentation Methods for Images of Mosaics. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 130-137. DOI: 10.5220/0005310101300137

@conference{visapp15,
author={Gianfranco Fenu. and Nikita Jain. and Eric Medvet. and Felice Andrea Pellegrino. and Myriam Pilutti Namer.},
title={On the Assessment of Segmentation Methods for Images of Mosaics},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005310101300137},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - On the Assessment of Segmentation Methods for Images of Mosaics
SN - 978-989-758-091-8
IS - 2184-4321
AU - Fenu, G.
AU - Jain, N.
AU - Medvet, E.
AU - Pellegrino, F.
AU - Namer, M.
PY - 2015
SP - 130
EP - 137
DO - 10.5220/0005310101300137
PB - SciTePress