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http://hdl.handle.net/10174/29337
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Title: | Study of the most effective analysis procedures using multispectral imaging techniques on ancient egyptian painted objects |
Authors: | Shaheen, Islam |
Advisors: | Ridolfi, Stefano |
Keywords: | Multispectral Imaging Reflectance Transformation Imaging Cartonnage Coffin X-Ray Fluorescence Pigments, Ancient Egypt |
Issue Date: | 21-Dec-2020 |
Publisher: | Universidade de Évora |
Abstract: | Multispectral imaging (MSI) used as Initial studies to identify and study painted layers as a
non-destructive method. The use of MSI to tentatively identify pigments has an important
advantage justifying its application the rapid and low-cost survey of large areas.it is possible to
tentatively identify some historical pigments and discover the invisible layers, painting and
writing. By means of MSI performed with simplified equipment and without the aid of imaging
analysis software.
The two selected objects from the Grand Egyptian Museum collection were rich in
pigments, first object is polychrome anthropoid wooden coffin lid (GEM No. 22452) the date
back to 21st Dynasty (c. 1070 - 945 B.c.) Late period, which belong to the collection of Bab el-
Gusus tomb and the second is a Cartonnage mummy trappings on linen (GEM No. 8615) date
back to27th dynasty, late period.
Different imaging techniques of multispectral imaging like ultraviolet methods (UVF, UVR,
and UVRFC) and Infrared methods (IRF, IR, IRFC and IRT) will be studied and evaluated
regarding to the efficiency and effectively. Mixing between multispectral imaging and
Reflectance transformation imaging will be applied and tested by mix and match between these
two techniques we can add value for the results we can get. Several methods will be applied
practically to have the required results for evaluating these methods. X-ray fluorescence (XRF)
spectrometry was used as a complementary analysis for the identification of the pigments. |
URI: | http://hdl.handle.net/10174/29337 |
Type: | masterThesis |
Appears in Collections: | BIB - Formação Avançada - Teses de Mestrado
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