Imperial College London
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ProfessorPier LuigiDragotti

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6192p.dragotti

 
 
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Location

 

814Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yan:2021:10.1109/TCI.2021.3102820,
author = {Yan, S and Huang, J-J and Daly, N and Higgitt, C and Dragotti, PL},
doi = {10.1109/TCI.2021.3102820},
journal = {IEEE Transactions on Computational Imaging},
pages = {908--924},
title = {When de prony met Leonardo: an automatic algorithm for chemical element extraction from macro X-ray fluorescence data},
url = {http://dx.doi.org/10.1109/TCI.2021.3102820},
volume = {7},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Macro X-ray Fluorescence (MA-XRF) scanning is an increasingly widely used technique for analytical imaging of paintings and other artworks. The datasets acquired must be processed to produce maps showing the distribution of the chemical elements that are present in the painting. Existing approaches require varying degrees of expert user intervention, in particular to select a list of target elements against which to fit the data. In this paper, we propose a novel approach that can automatically extract and identify chemical elements and their distributions from MA-XRF datasets. The proposed approach consists of three parts: 1) pre-processing steps, 2) pulse detection and model order selection based on Finite Rate of Innovation theory, and 3) chemical element estimation based on Cramér-Rao bounding techniques. The performance of our approach is assessed using MA-XRF datasets acquired from paintings in the collection of the National Gallery, London. The results presented show the ability of our approach to detect elements with weak X-ray fluorescence intensity and from noisy XRF spectra, to separate overlapping elemental signals and, excitingly, to aid visualisation of hidden underdrawing in a masterpiece by Leonardo da Vinci.
AU  - Yan,S
AU  - Huang,J-J
AU  - Daly,N
AU  - Higgitt,C
AU  - Dragotti,PL
DO  - 10.1109/TCI.2021.3102820
EP  - 924
PY  - 2021///
SN  - 2333-9403
SP  - 908
TI  - When de prony met Leonardo: an automatic algorithm for chemical element extraction from macro X-ray fluorescence data
T2  - IEEE Transactions on Computational Imaging
UR  - http://dx.doi.org/10.1109/TCI.2021.3102820
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000692569100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ieeexplore.ieee.org/document/9511278
UR  - http://hdl.handle.net/10044/1/98500
VL  - 7
ER  -
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