Identification of selected internal wood characteristics in computed tomography images of black spruce: a comparison study

@article{Wei2008IdentificationOS,
  title={Identification of selected internal wood characteristics in computed tomography images of black spruce: a comparison study},
  author={Qiang Wei and Ying Hei Chui and Brigitte Leblon and Shu Yin Zhang},
  journal={Journal of Wood Science},
  year={2008},
  volume={55},
  pages={175-180}
}
The feasibility of identifying internal wood characteristics in computed tomography (CT) images of black spruce was investigated using two promising classifiers: the maximum likelihood classifier (MLC) and the back propagation (BP) artificial neural network (ANN) classifier. Nine image features including one spectral feature (gray level values), a distance feature, and seven textural features were employed to develop the classifiers. The selected internal wood characteristics to be identified… 

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