On the Assessment of Segmentation Methods for Images of Mosaics

Gianfranco Fenu, Nikita Jain, Eric Medvet, Felice Andrea Pellegrino, Myriam Pilutti Namer

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 Harvard Style

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 - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 130-137. DOI: 10.5220/0005310101300137


in Bibtex Style

@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 - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005310101300137},
isbn={978-989-758-091-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - On the Assessment of Segmentation Methods for Images of Mosaics
SN - 978-989-758-091-8
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