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International Society for Industrial Process Tomography

2nd World Congress on Industrial Process Tomography

A Regularized Multivariate Linear Regression Image Reconstruction Algorithm For ERT


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Wei Ying1 Zhao Jinchuang1 Wang Shi1


1PO Box 321, School of Information Science and Engineering, Northeastern University, Shenyang, 110006, P. R. China E-mail: MCGMZWZC@pub.ln.cninfo.net


ABSTRACT


This paper research three kinds of image reconstruct algorithms for Electrical Resistance Tomography (ERT), and put forward a new image reconstruct algorithm for ERT based on regularized multivariate linear regression method, and has reconstructed images used the measurement data obtained from the ERT simulation software developed by the authors, it has been compared with other traditional image reconstruct algorithms. The result shows that regularized multivariate linear regression is suitable for solving the nonlinear problem of ERT image reconstruction ,this algorithm has advantages of high speed and high precision.


Keywords: Electrical resistance tomography, Image reconstruct algorithm, Regularized Multivariate linear regression


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