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An ECT System Based on Improved RBF Network and Adaptive wavelet Image Enhancement for Solid/Gas Two-phase Flow

Chinese Journal of Chemical Engineering 2012年第2期20卷 359-367页

作者：陈夏胡红利张娟周屈兰 State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University

Electrical capacitance tomography(ECT) is a non-invasive imaging technique that aims at visualizing the cross-sectional permittivity distribution and phase distribution of solid/gas two-phase flow based on the measured *** solve the nonlinear and ill-posed inverse problem:image reconstruction of ECT system,this paper proposed a new image reconstruction method based on improved radial basis function(RBF) neural network combined with adaptive wavelet image ***,an improved RBF network was applied to establish the mapping model between the reconstruction image pixels and the capacitance values ***,for better image quality,adaptive wavelet image enhancement technique was emphatically analyzed and studied,which belongs to a space-frequency analysis method and is suitable for image *** multi-level wavelet decomposition,edge points of the image produced from RBF network can be determined based on the neighborhood property of each sub-band;noise distribution in the space-frequency domain can be estimated based on statistical characteristics;after that a self-adaptive edge enhancement gain can be ***,the image is reconstructed with adjusting wavelet *** this paper,a 12-electrode ECT system and a pneumatic conveying platform were built up to verify this image reconstruction *** results demonstrated that adaptive wavelet image enhancement technique effectively implemented edge detection and image enhancement,and the improved RBF network and adaptive wavelet image enhancement hybrid algorithm greatly improved the quality of reconstructed image of solid/gas two-phase flow [pulverized coal(PC)/air].

关键词： electrical capacitance tomography.image reconstruction radial basis function network wavelet imageenhance ment

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