2016
DOI: 10.1255/jsi.2016.a2
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Use of infrared hyperspectral imaging as an aid for paint identification

Abstract: This version is available at https://strathprints.strath.ac.uk/58213/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any pro… Show more

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Cited by 8 publications
(4 citation statements)
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References 12 publications
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“…Using an internal combination of filters, it can record the reflectivity response of surfaces at specific wavelengths given by the manufacturer, which results in the acquisition of several singular images, each responding to a particular wavelength [28,29]. This has the major advantage of being able to study the individual behaviours of the surface or the paint layers in different wavelengths, which may lead to better discrimination [30][31][32][33]. Another advantage of single wavelength images is that no matter the background or the surface, there will always be at least one wavelength that will produce high contrast between the background and information to be differentiated.…”
Section: State Of the Artmentioning
confidence: 99%
“…Using an internal combination of filters, it can record the reflectivity response of surfaces at specific wavelengths given by the manufacturer, which results in the acquisition of several singular images, each responding to a particular wavelength [28,29]. This has the major advantage of being able to study the individual behaviours of the surface or the paint layers in different wavelengths, which may lead to better discrimination [30][31][32][33]. Another advantage of single wavelength images is that no matter the background or the surface, there will always be at least one wavelength that will produce high contrast between the background and information to be differentiated.…”
Section: State Of the Artmentioning
confidence: 99%
“…In the past, applications of HSI are in the field of remote sensing such as precision agriculture (Datt, McVicar, Van Niel, Jupp, & Pearlman, 2003) , land cover analysis (Tong Qiao, Ren, Sun, Zheng, & Marshall, 2014) or military target detection (Manolakis & Shaw, 2002;Young, Marshall, & Gray, 2016). Due to recent advances in imaging technology in the last decades, HSI became more popular for lab-based applications such as food quality monitoring (Marshall, Kelman, Qiao, Murray, & Zabalza, 2015;Sun, 2010), medical applications (Lu & Fei, 2014) and even artwork inspection (Polak et al, 2016). The popularity derives from the nondestructive nature of HSI, where samples can be analysed chemometrically without altering their physical integrity.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to the traditional applications of Hyperspectral Imaging (HSI) in remote sensing [1][2][3], the recent and rapid rise of interest for HSI was focused on various industrial applications, such as food quality monitoring [4][5][6], counterfeit detection [7] and artwork authentication [8,9]. Conventional HSI systems are, however, very cost intensive and require relatively complicated operation.…”
Section: Introductionmentioning
confidence: 99%