What is it about?
This work refers to the investigation of the stratigraphy of a painting using Raman spectroscopy. A Raman spectrum consists of indicative information related to the existing materials of the illuminated region. To derive the stratigraphic information of such a region we use the hierarchical agglomerative clustering algorithm in order to separate the surface materials from the underlined ones. The method is applied to an overpainted byzantine icon.
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Why is it important?
Although it is a preliminary research in studying the stratigraphy of art objects, it show the potentials of using pattern recognition algorithms in dealing with a such interesting problem.
Perspectives
It will be important if this work triggers a further, more comprehensive research in this direction.
Mr Georgios K Apostolidis
Aristotle University of Thessaloniki
Read the Original
This page is a summary of: Investigation of stratigraphic mapping in paintings using micro-Raman spectroscopy, April 2016, SPIE,
DOI: 10.1117/12.2225211.
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