光谱学与光谱分析 |
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A Composition Analysis Method of Mixed Pigments Based on Spectrum Expression and Independent Component Analysis |
WANG Gong-ming1, LIU Zhi-yong2 |
1. Department of Information Art and Design, Tsinghua University, Beijing 100084, China 2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract Reflectance spectrometry is a common method in composition analysis of mixed pigments. In this method, similarity is used to determine the type of basic pigments that constitute the mixed pigments. But its result may be inaccurate because it is easily influenced by a variety of basic pigments. In this study, a composition analysis method of mixed pigments based on spectrum expression and independent component analysis is proposed, and the composition of mixed pigments can be calculated accurately. First of all, the spectral information of mixed pigments is obtained with spectrometer, and is expressed as the discrete signal. After that, the spectral information of basic pigments is deduced with independent component analysis. Then, the types of basic pigments are determined by calculating the spectrum similarity between the basic pigments and known pigments. Finally, the ratios of basic pigments are obtained by solving the Kubelka-Munk equation system. In addition, the simulated spectrum data of Munsell color card is used to validate this method. The compositions of mixed pigments from three basic pigments are determined under the circumstance of normality and disturbance. And the compositions of mixture from several pigments within the set of eight basic pigments are deduced successfully. The curves of separated pigment spectrums are very similar to the curves of original pigment spectrums. The average similarity is 97.72%, and the maximum one can reach to 99.95%. The calculated ratios of basic pigments close to the original one. It can be seen that this method is suitable for composition analysis of mixed pigments.
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Received: 2014-01-23
Accepted: 2014-04-18
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Corresponding Authors:
WANG Gong-ming
E-mail: gongmingwang@126.com
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