光散射学报, 2014, 26 (1): 88, 网络出版: 2014-12-08   

基于光谱特征拟合的艺术画颜料成分识别研究

Research on Art Painting Pigment Composition Recognition Based on Spectra Feature Fitting
武锋强 1,2,*杨武年 1李丹 2,3
作者单位
1 成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都 610059
2 西南科技大学,绵阳 621010
3 中国工程物理研究院,绵阳 621900
摘要
高光谱成像技术作为一种高效无损的检测方法, 根据不同的物质成分在光谱上表现出不同的光谱信息, 可以从图像上方便的鉴定出物质成分组成。本文分别利用可见光高光谱与红外高光谱成像技术对一幅古画进行颜料光谱成像, 通过最小噪声分离(MNF)、纯净像元提取(PPI)、光谱特征拟合方法(SFF), 与标准波谱库匹配, 识别出该幅古画所用颜料成分主要由: 朱砂、石青、白云母和金云母等组成, 匹配度分别为: 0.76, 0.57, 0.62, 0.89。实验表明: 利用高光谱成像技术不但可保存图像信息, 物质成分波谱信息, 还可还原受污染区域, 为以后深层次研究提供详实资料。
Abstract
As an efficient lossless detecting method, hyperspectral imaging technology can easily identify the material composition from the image according to that the different material components represent of different spectral information. The spectrum of pigment on an ancient painting can be obtained by the visible light hyperspectral and infrared hyperspectral imaging technology, then it is found that the pigment mainly consists of cinnabar, azurite, muscovite and phlogopite by Minimum Noise Fraction Rotation (MNF),Pixel Purity Index (PPI), Spectra Feature Fitting (SFF) and matching of the standard spectrum library. The mathching index are 0.76,0.57,0.62 and 0.89. These experiments show that: this way is not only can save the image information, and the spectrum information of material using hyperspectral imaging technology, but also can restore the original region, to provide the detailed data for advanced research.
参考文献

[1] 刘玉娟, 唐玉国, 巴音贺希格, 等.红外成像光谱测量中Dyson光学系统的研究进展[J].光谱学与光谱分析, 2012(2): 548-552.(Liu Yujuan, Tang Yuguo, Ba Yinhexige, et al. A review of dyson optical system in the measure of infrared imaging spectrum a review of dyson optical system in the measure of infrared imaging spectrum a review of dyson optical system in the measure of infrared imaging spectrum[J]. Spectroscopy and Spectral Analysis, 2012(2): 548-552.)

[2] 韩炜师, 王丽琴.光谱分析技术在彩绘文物颜料分析中的应用[J].光谱学与光谱分析, 2012(12): 3394-3398.Han Huishi, Wang Liqin. Application of spectral technologies in analyzing pigments of colored relics[J]. Spectroscopy and Spectral Analysis, 2012(12): 3394-3398.

[3] 何秋菊, 李涛, 施继龙, 等.道教人物画像颜料的原位无损分析[J].文物保护与考古科学, 2010, 22(3): 61-68.He Qiuju, Li Tao, Shi Jilong, et al. Non-destructive in-situ characterization of pigments on a portrait of Chinese Taoism figure[J]. Sciences of Conservation and Archaeology, 2010, 22(3): 61-68.

[4] 那娜, 欧阳启名, 乔玉青, 等.傅里叶变换红外光谱和近红外傅里叶变换拉曼光谱法无损鉴定中国字画[J].光谱学与光谱分析, 2004, 24(11): 1327-1330.(Na Na, Ouyang Qiming, Qiao Yuqing, et al. Rapid and Non-Destructive identification of calligraphies by fourier transform infrared spectroscopy and fourier transform raman spectroscopy[J]. Spectroscopy and Spectral Analysis, 2004, 24(11): 1327-1330.)

[5] Castro K, Vandebabeele P, Rodríguez-Laso M D. Micro-Raman analysis of coloured lithographs[J]. Anal Bioanall Chem, 2004, 379(4): 674-683.

[6] Berman M, Phatak A, Traylen A. Some invariance properties of the minimum noise fraction transform[J]. Chemom Intell Lab Syst, 2012, 117(2): 189-199.

[7] 许宁, 胡玉新, 雷斌, 等.基于改进光谱特征拟合算法的高光谱数据矿物信息提取[J].光谱学与光谱分析, 2011, 31(6): 1639-1643.(Xu Ning, Hu Yuxin, Lei Bin, et al. Mineral information extraction for hyperspectral image based on modified spectral feature fitting algorithm[J]. Spectroscopy and Spectral Analysis, 2011, 31(6): 1639-1643.)

[8] 李祖传, 马建文, 张睿, 等.利用P-EDMP与光谱进行高光谱遥感影像分类[J].武汉大学学报(信息科学版), 2010, 35(12): 1449-1452.(Li Zuchuan, Ma Jianwen, Zhang Rui, et al. Classifying hyperspectral image based on P-EDMP and spectrum[J]. Geomatics and Information Science of Wuhan University, 2010, 35(12): 1449-1452.)

[9] 王润生.高光谱遥感的物质组分和物质成分反演的应用分析[J].地球信息科学学报, 2009(3): 261-267.(Wang Runsheng. Spectral identification and inversion of composition and component of objects with hyperspectral remote sensing[J]. Journal of Geo-Information Science, 2009(3): 261-267.)

[10] 郭宏, 段修业.东千佛洞壁画颜料色彩规律及壁画病害治理的研究[J].敦煌研究, 1995(3): 59-65.(Guo Hong, Duan Xiuye. Study on the eastern Thousand-Buddha cave murals pigments of mural disease control and color[J]. Dunhang Research, 1995(3): 59-65.)

[11] 王继英, 魏凌, 刘照军.中国古代艺术品常用矿物颜料的拉曼光谱[J].光散射学报, 2012(1): 86-91.(Wang Jiying, Wei Ling, Liu Zhaojun. Raman spectra of some mineral pigments used in ancient Chinese artworks[J]. J Light Scattering, 2012(1): 86-91.)

[12] 高连如, 张兵, 张霞, 等.油漆涂层对板材红外光谱特性影响分析[J].红外与毫米波学报, 2006(6): 13-18.(Gao Lianru, Zhang Bing, Zhang Xia, et al. Infrared special analysis of architectural materials covered by different paints [J]. J Infrared Millimeter Waves, 2006(6): 13-18.)

[13] Bowen B B, Brightte A M, Marjorie A C, et al. Reflectance spectroscopic mapping of diagenetic heterogeneities and fluid-flow pathways in the Jurassic Navajo Sandstone[J]. AAPG Bulletin, 2007, 91(2): 173-190.

[14] Fauvel M, Benediktsson J A, Chanussot J. Spectral and spatial classification of hyperspectral data using SVMS and morphological profiles[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3804-3814.

[15] 杨武年, 刘恩勤, 陈宁, 等.成都市土地利用遥感动态监测及驱动力分析[J].西南交通大学学报, 2010, 45(2): 185-190.(Yang Wunian, Liu Enqin, Chen Ning, et al. Remote sensing dynamic monitoring and driving force analysis of land Use/Cover changes in Chengdu[J]. Journal of Southwest Jiaotong University, 2010, 45(2): 185-190.)

武锋强, 杨武年, 李丹. 基于光谱特征拟合的艺术画颜料成分识别研究[J]. 光散射学报, 2014, 26(1): 88. WU Feng-qiang, YANG Wu-nian, LI Dan. Research on Art Painting Pigment Composition Recognition Based on Spectra Feature Fitting[J]. The Journal of Light Scattering, 2014, 26(1): 88.

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