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An application of principal component analysis method in wood defects identification

机译:主成分分析法在木材缺陷识别中的应用

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摘要

In this paper, a new contribution regarding the application of principal component analysis (PCA) technique is u.sed to delect defects in wood. For this purpose, a PCA procedure is modeled and developed accordingly. The results show that this method is applicable, appropriate and reliable for identifying defects in wood and is able to separate the clear wood from the others. In particular, in the case of wood with holes, all the squared prediction errors (SPE) were higher than their threshold while in clear wood all SPE values were less than their threshold and their values are far enough from the threshold line.
机译:在本文中,有关主成分分析(PCA)技术应用的新贡献被用于发现木材中的缺陷。为此,将对PCA程序进行建模和开发。结果表明,该方法适用于识别木材中的缺陷,适用且可靠,能够将透明木材与其他木材分开。特别是,对于带孔的木材,所有平方的预测误差(SPE)均高于其阈值,而在透明的木材中,所有SPE值均小于其阈值,并且其值与阈值线相距足够远。

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