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Germination Grain Detection Technology Based on Electrical Impedance Tomography

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Computer simulation method can simulate hardware of EIT system and acquire imaging data. It can help studying the impact of different electrode widths on quality of image reconstruction. When iteration number is relatively small, contrast ration and sharpness of impurity and medium boundary is good and reconstructed image can reflect the position and size of impurity. Small iteration number can be selected for image reconstruction to increase the real-time property of imaging. When diameter of imaging domain is 100 mm, the quality of reconstructed image is the best at electrode width of 7.5 mm. For imaging domains with different areas, electrode width has an optimal value. Computation cannot be converged when the regularized coefficient is too small; the image would be distorted seriously when it is too large. Ill-conditioning property of model with multiple impurities is strong, optimal regularized parameter is relatively large but the optimal regularized parameter of model with single impurity is relatively small.

Keywords: Electrical Impedance Tomography; Finite-Element Simulation; Germination Grain Detection Technology; Image Reconstruction; Small Iteration Number

Document Type: Research Article

Affiliations: College of Biotechnology and Food Engineering, Jilin Institute of Chemical Technology, Jilin 132022, China

Publication date: 01 November 2016

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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