Boundary identification for wood defects using Neural Network based on Matlab programming

@article{Yang2012BoundaryIF,
  title={Boundary identification for wood defects using Neural Network based on Matlab programming},
  author={Xinhui Yang and Dawei Qi and Peng Zhang},
  journal={Proceedings of 2012 International Conference on Biobase Material Science and Engineering},
  year={2012},
  pages={336-341}
}
Here we present a novel method to detect the boundaries of wood defects in X-ray wood images using the Hopfield Neural Network (HNN) algorithm based on Matlab programming. An improved energy function was designed for the HNN to perform the boundary detection which was formulated, in this paper, as an optimization process that could locate the boundary… CONTINUE READING