제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Front Points Tracking in the Region of Interest with Neural Network in Electrical Impedance Tomography

  • Seo, K.H. (Department of Electronic Engineering, Kyungpook National University) ;
  • Jeon, H.J. (Department of Electronic Engineering, Kyungpook National University) ;
  • Kim, J.H. (Department of Electronic Engineering, Kyungpook National University) ;
  • Choi, B.Y. (Department of Electronic Engineering, Kyungpook National University) ;
  • Kim, M.C. (Department of Chemical Engineering, Cheju National University) ;
  • Kim, S. (Department of Nuclear & Energy Engineering, Cheju National University) ;
  • Kim, K.Y. (Department of Electrical & Electronic Engineering, Cheju National University)
  • Published : 2003.10.22
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Abstract

In the conventional boundary estimation in EIT (Electrical Impedance Tomography), the interface between anomalies and background is expressed in usual as Fourier series and the boundary is reconstructed by obtaining the Fourier coefficients. This paper proposes a method for the boundary estimation, where the boundary of anomaly is approximated as the interpolation of front points located discretely along the boundary and is imaged by tracking the points in the region of interest. In the solution to the inverse problem to estimate the front points, the multi-layer neural network is introduced. For the verification of the proposed method, numerical experiments are conducted and the results indicate a good performance.

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