光散射学报, 2019, 31 (1): 88, 网络出版: 2019-04-16  

油漆涂层对近红外鉴别两种红木家具种类影响分析

Analysis on the Near Infrared Identification of Two Kinds of Hongmu Furniture by the Influence of Paint Coating
作者单位
1 浙江农林大学工程学院, 浙江 临安 311300
2 浙江省林业智能监测和信息技术研究重点实验室, 浙江 临安 311300
摘要
红木家具市场以次充好、以假乱真的现象非常普遍, 导致消费者对其真伪难以鉴别。目前对于近红外识别木材种类的研究已经很多, 但对成品家具而言, 表面涂饰是阻碍近红外光谱检测的最大障碍。因此本文通过对不同种类油漆涂层覆盖下木材近红外光谱特征分析, 提出了一种主成分分析(Principal Component Analysis, PCA)结合BP神经网络(Back Propagation)的红木家具种类鉴别方法。以市面上易混淆的交趾黄檀和微凹黄檀为试验对象, 首先使用近红外光谱仪采集光谱数据, 比较了原木与家具的光谱差异, 然后采用标准正态变量变换(Standard Normal Variate Transformation, SNV)的预处理方法, 再利用主成分分析法以累积贡献率大于95%的主成分作为样品特征, 构建3层BP神经网络模型。结果表明: 基于主成分分析的BP神经网络的方法能较好的鉴别交趾黄檀和微凹黄檀两种红木家具, 预测结果准确率分别为92.59%和94.38%, 给红木家具种类的鉴别提供了一种新的可靠的方法。
Abstract
It’s a common phenomenon that shoddy and deceptive the hongmu furniture is filled with all markets.It’s so hard for consumers to identify the species of the hongmu furniture.There are many studies on the application of near infrared spectroscopy classification of wood species.But for the finished furniture, the surface decoration is the biggest problem to classify the hongmu furniture.So this paper analyzes the spectral characteristics of wood covered by different kinds of paints and proposes a method which is combined with Principal Component Analysis(PCA) and Back Propagation Neural Networks by using near infrared spectroscopy.We firstly collected spectral data from Dalbergia cochinchinensis and Dalbergia retusa which are usuaslly confusing hongmu furniture species in the market, and compered the spectral difference of hongmu and the hongmu furniture.Secondly, reflection spectra were preprocessed by taking SNV to remove irrelevant information and noise.Finally, principal component analysis was used to distill initial feature vectors and asbilish new sample’s feature vectors according to cumulate reliability.Then, we chose the new feature vectors which its cumulate reliability is more than 95%.A three layer probabilistic neural network was designed.Results show that recognition rates of these three species of hongmu furniture are 92.59% and 94.38%.So our approach provides an new and reliable method for the identification of hongmu furniture.

赵晓俊, 顾玉琦, 王佩欣, 寿国忠, 钱孟波. 油漆涂层对近红外鉴别两种红木家具种类影响分析[J]. 光散射学报, 2019, 31(1): 88. ZHAO Xiaojun, GU Yuqi, Wang Peixin, SHOU Guozhong, QIAN Mengbo. Analysis on the Near Infrared Identification of Two Kinds of Hongmu Furniture by the Influence of Paint Coating[J]. The Journal of Light Scattering, 2019, 31(1): 88.

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