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A study on classification of mineral pigments based on spectral angle mapper and decision tree
Fan, Cheng1,2; Zhang, Pengchang1; Wang, Shuang1; Hu, Bingliang1
2018
会议名称10th International Conference on Digital Image Processing, ICDIP 2018
会议录名称Tenth International Conference on Digital Image Processing, ICDIP 2018
卷号10806
会议日期2018-05-11
会议地点Shanghai, China
出版者SPIE
产权排序1
摘要Mineral pigments are widely used in the ancient Chinese painting. Classification and identification of mineral pigments are important for cultural heritages conservation. As a non-destructive method, hyperspectral classification is based on the knowledge that different mineral pigments have distinct reflection spectra. This study acquired the hyperspectral images of 38 mineral pigments and established a reflection spectral library. Then Spectral Angle Mapper (SAM) was used to classify the test data and 0.20 was selected as the optimal threshold. For pigments having similar color and spectra, SAM was unable to classify them correctly. Therefore, decision tree, a machine learning method, was applied to the classification of the pigments misclassified by SAM. For each pigment, 7500 samples were randomly selected as training data and 2500 samples were selected as test data. Though the ID3 algorithm, a decision tree for pigment classification was learned. Then test data was classified by the decision tree. Compared with SAM, the accuracy of classification observed from decision tree was obviously improved. For most pigments, the accuracy of decision tree reached 94%. The results revealed that the SAM combined with decision tree could effectively achieve a discrimination of all the 38 mineral pigments in the experiment, thus providing a new approach for mineral pigments classification. © 2018 SPIE.
作者部门光谱成像技术实验室
DOI10.1117/12.2503088
收录类别EI
ISBN号9781510621992
语种英语
ISSN号0277786X
EI入藏号20183605779103
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30607
专题光谱成像技术实验室
作者单位1.Xi'an Institute of Optics and Precision Mechanics of CAS, Shaanxi, China;
2.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Fan, Cheng,Zhang, Pengchang,Wang, Shuang,et al. A study on classification of mineral pigments based on spectral angle mapper and decision tree[C]:SPIE,2018.
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