Wavelet based Raman spectra comparison

Cooper, Gordon, Kubik, Maria and Kubik, Kurt (2011) Wavelet based Raman spectra comparison. Chemometrics and Intelligent Laboratory Systems, 107 1: 65-68. doi:10.1016/j.chemolab.2011.01.010

Author Cooper, Gordon
Kubik, Maria
Kubik, Kurt
Title Wavelet based Raman spectra comparison
Journal name Chemometrics and Intelligent Laboratory Systems   Check publisher's open access policy
ISSN 0169-7439
Publication date 2011-05-01
Sub-type Article (original research)
DOI 10.1016/j.chemolab.2011.01.010
Open Access Status Not yet assessed
Volume 107
Issue 1
Start page 65
End page 68
Total pages 4
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 1602 Analytical Chemistry
1712 Software
1706 Computer Science Applications
1508 Process Chemistry and Technology
1607 Spectroscopy
Abstract In this paper a novel blind peak detector for Raman spectra based on the continuous wavelet transform is proposed. The peak detector is shown to correctly identify peaks of different widths and intensities, and is well suited for subsequent peak-to-peak matching for the process of identifying unknown Raman spectra with the help of a library of reference spectra. No background reduction or initial noise filtering is necessary. The described methods were verified by successfully identifying 73 paint pigments by a spectral search through a Raman library for 638 pigments. In all except 7 cases, the Schmincke-Kremer pairings from the truth reference were found to be amongst the two top pairings with the largest matching cost function. These 7 cases were again inspected by the paintings conservator and doubts were raised regarding the truthfulness of the initial pairing. The proposed methods are equally applicable to other spectral methods.
Keyword Art conservation
Matching algorithms
Pigment identification
Raman spectra
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
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