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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
Conference Name10th International Conference on Digital Image Processing, ICDIP 2018
Source PublicationTenth International Conference on Digital Image Processing, ICDIP 2018
Volume10806
Conference Date2018-05-11
Conference PlaceShanghai, China
PublisherSPIE
Contribution Rank1
Abstract

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.

KeywordHyperspectral Imaging Mineral Pigments Spectral Angle Mapper Decision Tree
Department光谱成像技术实验室
DOI10.1117/12.2503088
Indexed ByEI ; CPCI
ISBN9781510621992
Language英语
ISSN0277786X;1996756X
WOS IDWOS:000452819600213
EI Accession Number20183605779103
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30607
Collection光谱成像技术实验室
Affiliation1.Xi'an Institute of Optics and Precision Mechanics of CAS, Shaanxi, China;
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
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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