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An application of principal component analysis method in wood defects identification

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Abstract

In this paper, a new contribution regarding the application of principal component analysis (PCA) technique is used to detect 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.

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Authors and Affiliations

  1. Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran

    Mohammad Mahdi Tafarroj, Hadi Kalani & Majid Moavenian

  2. Mechanical Engineering Department, Shahid Chamran University of Ahvaz, Ahvaz, Iran

    Afshin Ghanbarzadeh

Authors
  1. Mohammad Mahdi Tafarroj
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  2. Hadi Kalani
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  3. Majid Moavenian
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  4. Afshin Ghanbarzadeh
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Correspondence to Mohammad Mahdi Tafarroj.

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Tafarroj, M.M., Kalani, H., Moavenian, M. et al. An application of principal component analysis method in wood defects identification. J Indian Acad Wood Sci 11, 33–38 (2014). https://doi.org/10.1007/s13196-014-0114-2

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  • DOI: https://doi.org/10.1007/s13196-014-0114-2

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