摘要
提出一种基于电容层析成像(ECT)组合电极重建图像及层次聚类的ECT图像融合方法。首先,构建组合8电极及12电极ECT阵列传感器,研究2种组合传感器激励测量方案;其次,采用层次聚类法对两种组合电极ECT重建图像进行聚类,从而消除重建过程中产生的伪影;最后,将聚类后的2种图像再进行小波融合重建。实验结果表明,相较于原始重建图像,所提方法重建图像平均相对误差最小,最大降幅达到23.4%,平均相关系数最大,最大增幅达到10.56%。
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%.
作者
张立峰
赵建海
华回春
ZHANG Lifeng;ZHAO Jianhai;HUA Huichun(Department of Automation,North China Electric Power University,Baoding,Hebei 071003,China;Department of Mathematics and Physics,North China Electric Power University,Baoding,Hebei 071003,China)
出处
《计量学报》
CSCD
北大核心
2024年第1期38-43,共6页
Acta Metrologica Sinica
基金
国家自然科学基金(61973115)。
关键词
计量学
电容层析成像
组合电极
图像重建
图像融合
油-气两相流
metrology
electrical capacitance tomography
combined electrode
image reconstruction
image fusion
oil-gas two-phase flow