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Non-Destructive Pigment Identification Method of Ancient Murals Based on Visible Spectrum |
LIANG Jin-xing, WAN Xiao-xia* |
School of Printing and Packaging, Wuhan University, Wuhan 430079, China |
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Abstract Mineral pigments is the color rendering basic of ancient murals, the visible spectrum of mineral pigment reflects its chemical composition and physical properties. Different mineral pigments have different spectral shapes because of different absorb properties for visible spectrum, even the same mineral pigment often shows different spectral amplitudes as it is grinded to different levels of particle size. According to the spectral features of mineral pigments above, a non-destructive pigment identification method of ancient murals based on visible spectrum is proposed. The normalized spectral curve, first derivative and second derivative extracted from spectral reflectance are combined to construct the identification feature space and the matching error (ME) calculated by multiply the normalized euclidean distance and angle between spectral feature from wall paintings and reference database is adopted as the criterion for pigment chemical property identification. The function relationship between mean spectral reflectance and mean particle size of the mineral pigments with particle size levels is constructed for pigment particle size identification. The proposed method is validated by the ancient murals in Mogao Grottoes based on the constructed pigment reference database and in-situ non-destructive spectral measurement method. The techniques of using pigments in murals and the differences of pigment used in different dynasties are tentatively analyzed and explained based on the identification results of malachite and lapis lazuli. The authors believe that the proposed method will provide effective support for in-depth studies on ancient murals.
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Received: 2016-07-11
Accepted: 2016-11-24
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Corresponding Authors:
WAN Xiao-xia
E-mail: wan@whu.edu.cn
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[1] Miliani C, Rosi F, Brunetti B G, et al. Accounts of Chemical Research, 2010, 43(6): 728.
[2] Cheilakou E, Troullinos M, Koui M. Journal of Archaeological Science, 2014, 41(7): 541.
[3] Vitorino T, Casini A, Cucci C, et al. Applied Physics A, 2015, 121(3): 891.
[4] Cucci C, Bigazzi L, Picollo M. Journal of Cultural Heritage, 2013, 14(4): 290.
[5] de Luna J M, Fernandez-Balbuena A A, Vázquez D, et al. Applied Spectroscopy, 2016, 70(1): 147.
[6] Bacci M, Casini A, Cucci C, et al. Journal of Cultural Heritage, 2003, 4(4): 329.
[7] Liang H, Saunders D, Cupitt J. Journal of Imaging Science and Technology, 2005, 49(6): 551.
[8] Berns R S, Byrns S, Casadio F, et al. Color Research and Application, 2006, 31(4): 278.
[9] Cavaleri T, Giovagnoli A, Nervo M. Procedia Chemistry, 2013, (8): 45.
[10] FAN Yu-quan, LI Yan-fei, YU Zong-ren, et al(范宇权, 李燕飞, 于宗仁,等). Dunhuang Research(敦煌研究), 2008, 5: 49.
[11] WANG Le-le, LI Zhi-min, MA Qing-lin, et al(王乐乐, 李志敏, 马清林,等). Dunhuang Research(敦煌研究), 2015, 3: 20.
[12] Elias M. Applied Optics, 2011, 50(16): 2464.
[13] Moutsatsou A, Alexopoulou A. Studies in Conservation, 2014, 59(1): 3.
[14] Ibrahim A, Tominaga S, Horiuchi T. Optical Review, 2011, 18(2): 231.
[15] XU Ping-fang(徐苹芳). Archaeology(考古), 1982, 6: 647. |
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