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Pigments Identification of Paintings Using Subspace Distance Unmixing Algorithm

机译:基于子空间距离混合算法的绘画颜料识别

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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.
机译:在文物的数字保护中,绘画表面上颜料混合物的识别已成为多年研究的热点。为了解决绘画中颜料混合物的识别问题,本文提出了一种基于子空间距离的分解作为高光谱分解算法。首先,设计一些不同颜料的混合物,以使用分光计测量其反射光谱。此外,还讨论了影响颜料混合物解混精度的因素。比较了有和没有宣纸的两个案例的解开结果,并比较了其底色作为末端成员。实验结果表明,该算法能够有效地消除颜料的混合,并且考虑到富纸和底层材料的光谱影响,可以提高混合的准确性。

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