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    • DH2015 - Digital Heritage International Congress 2015
    • DH2015 - Track 3
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    Automated Color Clustering for Medieval Manuscript Analysis

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    16_DigitalHeritage2015_submission_193.pdf (357.7Kb)
    Date
    2015
    Author
    Yang, Ying
    Pintus, Ruggero ORCID
    Gobbetti, Enrico ORCID
    Rushmeier, Holly ORCID
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    Abstract
    Given a color image of a medieval manuscript page, we propose a simple, yet efficient algorithm for automatically estimating the number of its color-based pixel groups, K. We formulate this estimation as a minimization problem, where the objective function assesses the quality of a candidate clustering. Rather than using all the features of the given image, we carefully select a subset of features to perform clustering. The proposed algorithm was extensively evaluated on a dataset of 2198 images (1099 original images and their 1099 variants produced by modifying both spatial and spectral resolutions of the originals) from the Yale's Institute for the Preservation of Cultural Heritage (IPCH). The experimental results show that it is able to yield satisfactory estimates of K for these test images.
    BibTeX
    @inproceedings {10.1109:DigitalHeritage.2015.7419462,
    booktitle = {International Congress on Digital Heritage - Theme 3 - Analysis And Interpretation},
    editor = {Gabriele Guidi and Roberto Scopigno and Juan Barceló},
    title = {{Automated Color Clustering for Medieval Manuscript Analysis}},
    author = {Yang, Ying and Pintus, Ruggero and Gobbetti, Enrico and Rushmeier, Holly},
    year = {2015},
    publisher = {IEEE},
    ISBN = {978-1-5090-0048-7},
    DOI = {10.1109/DigitalHeritage.2015.7419462}
    }
    URI
    http://dx.doi.org/10.1109/DigitalHeritage.2015.7419462
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    • DH2015 - Track 3

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    Eurographics Association copyright © 2013 - 2022 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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