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Authors: Vassiliki Kokla ; Alexandra Psarrou and Vassilis Konstantinou

Affiliation: University of Westminster Harrow School of Computer Science, United Kingdom

Keyword(s): Ink analysis, semi-transparent pigments, image-based art conservation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control ; Statistical Approach

Abstract: Analysis of manuscript inks is very important because it gives information on the authenticity and the dating of manuscripts. Inks are semi-transparent pigments which are very difficult to discriminate because of the influence of the support on which they are often found. For this reason ink is often examined using destructive techniques of analysis. However, in the case of old manuscript inks it is frequently impossible to apply destructive techniques for their analysis because of the historical and cultural value of manuscripts. Statistical analysis offers the best opportunity for developing effective solutions on the non-destructive characterization of manuscript inks. In this paper we present a novel method for the ink recognition problems that is based on the optical ink information represented through a mixture of Gaussian functions so as the ink classification using the Bayes’ decision rule can be feasible.

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Paper citation in several formats:
Kokla, V.; Psarrou, A. and Konstantinou, V. (2006). PROBABILITY ANALYSIS IN ART CONSERVATION. In Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP; ISBN 972-8865-40-6; ISSN 2184-4321, SciTePress, pages 508-514. DOI: 10.5220/0001368005080514

@conference{visapp06,
author={Vassiliki Kokla. and Alexandra Psarrou. and Vassilis Konstantinou.},
title={PROBABILITY ANALYSIS IN ART CONSERVATION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP},
year={2006},
pages={508-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001368005080514},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 1: VISAPP
TI - PROBABILITY ANALYSIS IN ART CONSERVATION
SN - 972-8865-40-6
IS - 2184-4321
AU - Kokla, V.
AU - Psarrou, A.
AU - Konstantinou, V.
PY - 2006
SP - 508
EP - 514
DO - 10.5220/0001368005080514
PB - SciTePress

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