A Novel Image Fusion Method Based on Edge Characteristics for Electrical Capacitance Tomography

2013 ◽  
Author(s):  
Deyun Chen ◽  
◽  
Ming Gao ◽  
Lei Song ◽  
Jianan Lin ◽  
...  
Author(s):  
Lifeng Zhang

The tomographic imaging of process parameters for oil-gas-water three-phase flow can be obtained through different sensing modalities, such as electrical resistance tomography (ERT) and electrical capacitance tomography (ECT), both of which are sensitive to specific properties of the objects to be imaged. However, it is hard to discriminate oil, gas and water phases merely from reconstructed images of ERT or ECT. In this paper, the feasibility of image fusion based on ERT and ECT reconstructed images was investigated for oil-gas-water three-phase flow. Two cases were discussed and pixel-based image fusion method was presented. Simulation results showed that the cross-sectional reconstruction images of oil-gas-water three-phase flow can be obtained using the presented methods.


2021 ◽  
Vol 70 ◽  
pp. 1-12
Author(s):  
Shanxun Sun ◽  
Qing Zhao ◽  
Shi Liu ◽  
Huixian Zhu ◽  
Yun Ju ◽  
...  

2013 ◽  
Vol 483 ◽  
pp. 397-400
Author(s):  
Li Feng Zhang

Electrical resistance tomography (ERT) and electrical capacitance tomography (ECT) are sensitive to resistivity and permittivity distributions of the object to be imaged. However, it is hard to discriminate oil, gas and water phases only using ERT or ECT. In this paper, image fusion based on ERT and ECT reconstructed images was investigated for oil-gas-water three-phase flow. And then, pixel-based image fusion method was presented. Simulation results showed that the cross-sectional reconstruction images of oil-gas-water three-phase flow can be obtained using the presented methods for discussed cases.


2012 ◽  
Vol 22 (6) ◽  
pp. 885-893 ◽  
Author(s):  
A. Martínez Olmos ◽  
G. Botella ◽  
E. Castillo ◽  
Diego P. Morales ◽  
J. Banqueri ◽  
...  

Author(s):  
Liu Xian-Hong ◽  
Chen Zhi-Bin

Background: A multi-scale multidirectional image fusion method is proposed, which introduces the Nonsubsampled Directional Filter Bank (NSDFB) into the multi-scale edge-preserving decomposition based on the fast guided filter. Methods: The proposed method has the advantages of preserving edges and extracting directional information simultaneously. In order to get better-fused sub-bands coefficients, a Convolutional Sparse Representation (CSR) based approximation sub-bands fusion rule is introduced and a Pulse Coupled Neural Network (PCNN) based detail sub-bands fusion strategy with New Sum of Modified Laplacian (NSML) to be the external input is also presented simultaneously. Results: Experimental results have demonstrated the superiority of the proposed method over conventional methods in terms of visual effects and objective evaluations. Conclusion: In this paper, combining fast guided filter and nonsubsampled directional filter bank, a multi-scale directional edge-preserving filter image fusion method is proposed. The proposed method has the features of edge-preserving and extracting directional information.


2015 ◽  
Vol 77 (28) ◽  
Author(s):  
MT Masturah ◽  
MHF Rahiman ◽  
Zulkarnay Zakaria ◽  
AR Rahim ◽  
NM Ayob

This paper discussed the design–functionality and application of Flexible Electrical Capacitance Tomography sensor (FlexiECT). The sensors consist of 12 electrodes allocated surrounding the outer layer of the pipeline. The sensor is designed in such that the flexibility features suit the applications in the pipeline of multiple size. This paper also discussed the preliminary result of FlexiECT applications in fluid imaging by identifying the percentage of two mixing fluids.


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