A summary of the exploratory research project IDENTICLASS
The IDENTICLASS project gave its contribution to the Exploratory Research (ER) Programme in 2018-2020. This ER project was focused on the development of a new analytical approach for the quick characterization and classification of uranium containing powders, primarily UOCs (Uranium Ore Concentrates), to combat their illicit trafficking. The study combines colour analysis by spectrophotometric measurements, different image texture analysis methods (such as AMT, angle measure technique; GLCM, grey level co-occurrence matrix; GLRLM, grey level run length matrix, local binary pattern), with information on the molecular structure (obtained by NIR spectroscopy) and then combine the analytical data for further processing. The expected result of this exploratory research was to obtain a new method, which makes use of a dedicated mathematical model based on data fusion, hence combining colour, image texture features and NIR spectroscopy data. To develop the models, a suite of 79 UOC samples available in the Directorate G.II.8 laboratories have been used as training and test samples. The main objectives were achieved and the classification models were developed successfully. After a final refinement, this approach could be implement as a new methodology to investigate seized uranium ore concentrate powders.
FONGARO Lorenzo;
MARCHETTI Mara;
LANDE Isak Biringvad;
WALLENIUS Maria;
MAYER Klaus;
2021-09-17
Publications Office of the European Union
JRC124728
978-92-76-38732-9 (online),
978-92-76-38731-2 (print),
1831-9424 (online),
1018-5593 (print),
EUR 30739 EN,
OP KJ-NA-30739-EN-N (online),
OP KJ-NA-30739-EN-C (print),
https://publications.jrc.ec.europa.eu/repository/handle/JRC124728,
10.2760/180882 (online),
10.2760/28216 (print),
