2019
DOI: 10.1016/j.vibspec.2018.08.009
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Pigment identification on an undated Chinese painting by non-destructive analysis

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Cited by 16 publications
(13 citation statements)
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“…Different results of the Micro-Raman spectroscopy were obtained at two detection points of red Sample JYS-2-3. At one of the points we have detected the strong Raman peaks at 252,286,342 cm -1 which correspond well to characteristic Raman bands of cinnabar (HgS) [20][21][22] . Moreover, the strong Raman peaks at 160,225,313,475,546cm -1 are assigned to minium (Pb 3 O 4 ).…”
Section: Paper Analysis Optical Microscopy(om)supporting
confidence: 60%
“…Different results of the Micro-Raman spectroscopy were obtained at two detection points of red Sample JYS-2-3. At one of the points we have detected the strong Raman peaks at 252,286,342 cm -1 which correspond well to characteristic Raman bands of cinnabar (HgS) [20][21][22] . Moreover, the strong Raman peaks at 160,225,313,475,546cm -1 are assigned to minium (Pb 3 O 4 ).…”
Section: Paper Analysis Optical Microscopy(om)supporting
confidence: 60%
“…At one point, the strong Raman peaks (Fig. 5c) at 252, 286, 342 cm −1 , which corresponded well to characteristic Raman bands of cinnabar (HgS) [22][23][24]. Moreover, the strong Raman peaks (Fig.…”
Section: Analysis Of the Pigmentsmentioning
confidence: 59%
“…Two blind source separation algorithms for endmember extraction, including ICA and NMF, were adopted (1) to compare their performance in pigment composition extraction.…”
Section: Endmember Extraction Algorithmsmentioning
confidence: 99%
“…However, the colors observed by our naked eyes or instruments such as hyperspectral cameras are usually a mixture of several kinds of pigments due to pigment usage and painting skills. Liu et al [1] illustrated that such pigments mixture were well-distributed and tight by performing three-dimension microscope analysis. Therefore, it is difficult to determine the type and proportion of the pigments on the surface of Chinese paintings before restoration.…”
Section: Introductionmentioning
confidence: 99%