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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Murray, Paul
in Cooperation with on an Cooperation-Score of 37%
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Publications (11/11 displayed)
- 2024CNN-based automated approach to crack-feature detection in steam cycle componentscitations
- 2023Deep learning enhanced Watershed for microstructural analysis using a boundary class semantic segmentationcitations
- 2023Passive gamma-ray analysis of UO2 fuel rods using SrI2(Eu) scintillators in multi-detector arrangements
- 2022X-ray classification of Special Nuclear Materials using image segmentation and feature descriptors
- 2020Design of 2D sparse array transducers for anomaly detection in medical phantomscitations
- 2017Automated microstructural analysis of titanium alloys using digital image processingcitations
- 2016Use of hyperspectral imaging for artwork authentication
- 2015Automated image stitching for fuel channel inspection of AGR cores
- 2013Automated image stitching for enhanced visual inspections of nuclear power stations
- 2012A review of recent advances in the hit-or-miss transformcitations
- 2011A fast method for computing the output of rank order filters within arbitrarily shaped windows
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document
Use of hyperspectral imaging for artwork authentication
Abstract
In recent years various scientific practices have been adapted to the artwork analysis process and a set of techniques was found advantageous for conservation and restoration works. Apart of these applications, art market also benefits from scientific testing of artwork. Although these services are available to determine authenticity of traded pieces, they are very expensive and time<br/>consuming and therefore serve only very limited range of transactions. As a response for requirements of growing market there is a need for rapid and non-destructive methods empowering art authentication. Hyperspectral imaging combined with signal processing and classification techniques are proposed as a tool to enhance the identification of art forgeries. Using bespoke paintings designed for this work, a spectral library of selected pigments was established and the viability of training and the application of classification techniques based on this data was demonstrated. Developed techniques were used for the analysis of actual forged paintings held by the Berlin police, which comprised known and suspected forgeries from the infamous Beltracchi case. The analysis resulted in the identification of anachronistic paint, confirming the falsity of the artwork. Figure 1 illustrates one of analysed paintings and result of the classification, indicating Titanium White – a pigment known as anachronistic for this case.