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

陈夏; 胡红利; 张娟; 周屈兰

doi:10.1016/S1004-9541(12)60399-1

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

SELECTED PAPERS FROM THE 6TH WORLD CONGRESS ON INDUSTRIAL PROCESS TOMOGRAPHY (WCIPT6) | Updated：2026-01-06

- An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow
- An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow
- 中国化学工程学报（英文版） 2012年20卷第2期页码：359-367
- Affiliations：
  
  State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University,Xi’an,China,710049
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (50777049,51177120);the National High Technology Research and Development Program of China (2009AA04Z130);the RCUK’s Energy Programme (EP/F061307/1)
- DOI：10.1016/S1004-9541(12)60399-1
  中图分类号：
- 纸质出版：2012
- Accepted：
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陈夏, 胡红利, 张娟, 等. An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow[J]. 中国化学工程学报（英文版）, 2012,20(2):359-367.

CHEN Xia, HU Hongli, ZHANG Juan, ZHOU Qulan. An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow[J]. , 2012, 20(2): 359-367.
陈夏, 胡红利, 张娟, 等. An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow[J]. 中国化学工程学报（英文版）, 2012,20(2):359-367. DOI： 10.1016/S1004-9541(12)60399-1.

CHEN Xia, HU Hongli, ZHANG Juan, ZHOU Qulan. An ECT System Based on Improved RBF Network and Adaptive Wavelet Image Enhancement for Solid/Gas Two-phase Flow[J]. , 2012, 20(2): 359-367. DOI： 10.1016/S1004-9541(12)60399-1.

摘要

Abstract

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 capacitance.To 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 enhancement.Firstly

an improved RBF network was applied to establish the mapping model between the reconstruction image pixels and the capacitance values measured.Then

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 feature-enhanced.Through 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 constructed.Finally

the image is reconstructed with adjusting wavelet coefficients.In this paper

a 12-electrode ECT system and a pneumatic conveying platform were built up to verify this image reconstruction algorithm.Experimental 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].

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