Abstract
The main objective of this study is to develop computational models and algorithms for automated image-based characterization of the types of pigments used in watercolours. Pigments constitute the main element of watercolours and such studies can provide important information related to the non-destructive examination of works of art. Semi-transparent pigments are very difficult to discriminate with non-destructive methods due to the reflective properties of the substrate; computer vision techniques can complement such traditional diagnostic methods by computing models and interpreting the visual properties of the pigments used.
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07.05.Pj; 42.30.Tz; 42.30.Va; 42.40.My; 89.20.Cf
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Kokla, V., Psarrou, A. & Konstantinou, V. Computational models for pigments analysis. Appl. Phys. A 90, 15–22 (2008). https://doi.org/10.1007/s00339-007-4236-x
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DOI: https://doi.org/10.1007/s00339-007-4236-x