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.
|Data di pubblicazione:||2015|
|Titolo:||On the Assessment of Segmentation Methods for Images of Mosaics|
|Titolo del libro:||Proceedings of 10th International Conference on Computer Vision Theory and Applications VISAPP 2015|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.5220/0005310101300137|
|Appare nelle tipologie:||4.1 Articolo in Atti di convegno|