An Image Fusion Method of Reconstructed Images for Combined-electrode Electrical Capacitance Tomography
ZHANG Lifeng1,ZHAO Jianhai1,HUA Huichun2
1. Department of Automation, North China Electric Power University, Baoding, Hebei 071003, China
2. Department of Mathematics and Physics, North China Electric Power University, Baoding, Hebei 071003, China
Abstract：One kind of image fusion method of electrical capacitance tomography (ECT) based on the reconstructed images of combined-electrode ECT and hierarchical clustering is proposed. Firstly, the combined 8-electrode and 12-electrode array sensors of ECT are constructed, and the excitation measurement schemes of the two combined sensors are studied; Secondly, the hierarchical clustering method is used to cluster the reconstructed images of the two combined electrodes, so as to eliminate the artifacts in the reconstruction process; Finally, the wavelet fusion is carried out using the two clustered images. Experimental results show that compared with the initial reconstructed images, the average relative error is the smallest with the maximum decrease being 23.4%, while the average correlation coefficient is the largest with the maximum increase being 10.56%
ZHANG M, ZHU L, WANG H, et al. Multiple Measurement Vector-Based Complex-Valued Multifrequency ECT［J］. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 5005410.
［6］
LEI J, LIU Q, WANG X. Deep learning-based inversion method for imaging problems in electrical capacitance tomography［J］. IEEE Transactions on Instrumentation and Measurement, 2018. 67(9): 2107-2118.
MOHAMAD E J, RAHIM R A, RAHIMAN M H F, et al. Analysis of crude palm oil composition in a chemical process conveyor using Electrical Capacitance Tomography［J］. Flow Measurement and Instrumentation, 2016, 50: 57-64.
［13］
YANG Y J, PENG L H. A configurable electrical capacitance tomography system using a combining electrode strategy［J］. Measurement Science and Technology, 2013, 24(7): 485-494.
ZHANG L F, LIU J, TIAN P. An electrode combination excitation measurement method for electrical capacitance tomography system［J］. Acta Metrologica Sinica, 2017, 38(4): 469-472.
ZHANG L F, ZHAI Y J, WANG X G, et al. Reconstruction method of electrical capacitance tomography based on wavelet fusion［J］. Measurement, 2018, 126: 223-230.
ZHAO J, XU L, CAO Z. Direct image reconstruction for electrical capacitance tomography using shortcut D-bar method［J］. IEEE Transactions on Instrumentation and Measurement, 2018, 68(2): 483-492.
ZHANG L F, WANG H X. A new electrode combination excitation measurement mode for electrical capacitance tomography［J］. CIESC Journal, 2012, 63(3): 860-865.
ZHANG L F, ZHU Y F, SONG Y J. Three dimensional electrical capacitance tomography combined electrode excitation measurement mode［J］. Acta Metrologica Sinica, 2019, 40(1): 130-133.
DEABES W, BOUAZZA K E. Efficient Image Reconstruction Algorithm for ECT System Using Local Ensemble Transform Kalman Filter［J］. IEEE Access, 2021, 9: 12779-12790.
［10］
WANG C, PANG R, CAO Q, et al. Optimization of the Structure of Electrode Array of Voltage-driven Electrical Resistance Tomography［C］//2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Glasgow, United Kingdom, 2021.
MA M, LIU Y F, LIU Y N. ECT Image Reconstruction Based on Improved Half-threshold Iterative Algorithm. ［J］. Acta Metrologica Sinica, 2021, 42(5): 595-602.
WEN Y T, JIA Y, ZHANG Y Y, et al. Non-destructive testing of thermal insulation adhesive layer based on improved ECT［J］. Chinese Journal of Scientific Instrument, 2016, 37(7): 1596-1602.
ZHANG L F, ZHANG M. An Optimized Algorithm for Image Reconstruction of Electrical Capacitance Tomography［J］. Acta Metrologica Sinica, 2021, 42(9): 1155-1159.
CHEN Y, XIA Z J, ZHOU Y J. Reconstruction algorithm of electrical capacitance tomography based on modified sparse quasi-Newton［J］. Journal of System Simulation, 2019, 31(5): 819-827.
FAN Y F, HU H L, YANG F, et al. A 48-electrode configurable capacitance tomography system model［J］. Journal of Xi'an Jiaotong University, 2015, 49(4): 110-115.
HUA Y, TANG D, ZHANG L, et al. Edge-preserving block compressive sensing with projected Landweber［J］. Measurement Science and Technology, 2013, 20: 71-79.
LI J Y, ZHANG R F, LIU Y H. Multiscale image fusion and enhancement algorithm based on wavelet transform［J］. Optical Technique, 2021, 47(2): 217-222.
ZHAI J J, LI T H, HUANG F J, et al. An indoor location algorithm based on hierarchical clustering and adaptive weighted k-nearest neighbor［J］. Journal of time and frequency, 2020, 43(4): 300-309.
YU X Q, CHEN R W, TANG J, et al. Edge detection of noisy image based on wavelet transform and new morphology［J］. Computer science, 2018, 45(S2): 194-197.
2024, Vol. 45 
