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Pigments identification of paintings using subspace distance unmixing algorithm
Author(s): Bin Li; Shuqiang Lyu; Dafeng Zhang; Qinghao Dong
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Paper Abstract

In the digital protection of the cultural relics, the identification of the pigment mixtures on the surface of the painting has been the research spot for many years. In this paper, as a hyperspectral unmixing algorithm, sub-space distance unmixing is introduced to solve the problem of recognition of pigments mixture in paintings. Firstly, some mixtures of different pigments are designed to measure their reflectance spectra using spectrometer. Moreover, the factors affecting the unmixing accuracy of pigments’ mixtures are discussed. The unmixing results of two cases with and without rice paper and its underlay as endmembers are compared. The experiment results show that the algorithm is able to unmixing the pigments effectively and the unmixing accuracy can be improved after considering the influence of spectra of the rich paper and the underlaying material.

Paper Details

Date Published: 10 April 2018
PDF: 6 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061511 (10 April 2018); doi: 10.1117/12.2302919
Show Author Affiliations
Bin Li, Automation Research and Design Institute of Metallurgical Industry (China)
Shuqiang Lyu, Beijing Univ. of Civil Engineering and Architecture (China)
Dafeng Zhang, Beijing Univ. of Civil Engineering and Architecture (China)
Qinghao Dong, Beijing Univ. of Civil Engineering and Architecture (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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