Computational models for pigments analysis

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. PACS 07.05.Pj; 42.30.Tz; 42.30.Va; 42.40.My; 89.20.Cf