Smart Objects and Technologies for Social Good. Second International Conference, GOODTECHS 2016, Venice, Italy, November 30 – December 1, 2016, Proceedings

Research Article

Segmentation of Mosaic Images Based on Deformable Models Using Genetic Algorithms

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  • @INPROCEEDINGS{10.1007/978-3-319-61949-1_25,
        author={Alberto Bartoli and Gianfranco Fenu and Eric Medvet and Felice Pellegrino and Nicola Timeus},
        title={Segmentation of Mosaic Images Based on Deformable Models Using Genetic Algorithms},
        proceedings={Smart Objects and Technologies for Social Good. Second International Conference, GOODTECHS 2016, Venice, Italy, November 30 -- December 1, 2016, Proceedings},
        proceedings_a={GOODTECHS},
        year={2017},
        month={7},
        keywords={Multi-objective optimization Cultural heritage Image processing},
        doi={10.1007/978-3-319-61949-1_25}
    }
    
  • Alberto Bartoli
    Gianfranco Fenu
    Eric Medvet
    Felice Pellegrino
    Nicola Timeus
    Year: 2017
    Segmentation of Mosaic Images Based on Deformable Models Using Genetic Algorithms
    GOODTECHS
    Springer
    DOI: 10.1007/978-3-319-61949-1_25
Alberto Bartoli1, Gianfranco Fenu1, Eric Medvet1,*, Felice Pellegrino1, Nicola Timeus1
  • 1: University of Trieste
*Contact email: emedvet@units.it

Abstract

Preservation and restoration of ancient mosaics is a crucial activity for the perpetuation of cultural heritage of many countries. Such an activity is usually based on manual procedures which are typically lengthy and costly. Digital imaging technologies have a great potential in this important application domain, from a number of points of view including smaller costs and much broader functionalities. In this work, we propose a mosaic-oriented image segmentation algorithm aimed at identifying automatically the tiles composing a mosaic based solely on an image of the mosaic itself. Our proposal consists of a , in which we represent each candidate segmentation with a set of quadrangles whose shapes and positions are modified during an evolutionary search based on multi-objective optimization. We evaluate our proposal in detail on a set of real mosaics which differ in age and style. The results are highly promising and in line with the current state-of-the-art.