基于模糊模式识别和敏感场优化的ECT图像重建  

ECT Image Reconstruction Based on Fuzzy Mode Recognition and Sensitive Field Optimization

作　　者：黄国兴 李超 吴振华 王静文 袁韬雅 卢为党[1] Huang Guoxing;Li Chao;Wu Zhenhua;Wang Jingwen;Yuan Taoya;Lu Weidang(School of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,Zhejiang,China;School of Information Science and Engineering,Harbin Institute of Technology,Weihai 264209,Shandong,China)

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310023 [2]哈尔滨工业大学信息科学与工程学院,山东威海264209

出　　处：《光学学报》2024年第9期54-66,共13页Acta Optica Sinica

基　　金：国家自然科学基金(61871348);浙江省自然科学基金(LQ21F010014)。

摘　　要：提出了一种基于模糊模式识别和敏感场优化的电容层析成像(ECT)图像重建方法,以提高重建的精度与质量。首先,提出了一种基于模糊模式的ECT流型识别方法,通过流型识别,选择与输入信号所属相对应的变化敏感场,完成敏感场的优化;然后,提出了一种基于特征提取的敏感场扩充方法,从输入信号中提取特征信息进行数据融合,并通过零填充和随机重组将优化后的敏感场扩展为新的敏感场分布矩阵,进一步优化敏感场;最后,提出一种稀疏图像重建方法,通过构造综合观测方程,求解介电常数分布矢量,并进行图像重建。通过COMSOL软件对ECT系统进行三维仿真建模,仿真实验结果表明,本文方法在图像误差、相关系数等成像指标上优于现有方法,具有更好的成像效果。Objective The two-phase flow is widely used in industrial production,and the phenomenon of pipe blocking often occurs in pipeline transportation.It affects the efficiency and stability of production.At this time,it is very important to detect the process parameters of two-phase flow.To realize the detection of two-phase flow parameters without causing damage to the distribution in the measurement area,process tomography(PT)has been developed.As a kind of PT technology,electrical capacitance tomography(ECT)has the advantages of fast imaging speed,simple structure,non-invasive,and high safety performance.It has gradually become a hot spot of research in the development of visualization detection technology.The problem of image reconstruction is at the heart of ECT technology.Due to the serious nonlinearity,under characterization,and soft-field characteristics of ECT systems,ECT image reconstruction cannot be well matched with the corresponding application scenarios.ECT image reconstruction method based on fuzzy mode and sensitive field optimization has better advantages in terms of imaging effects and imaging performance indicators.1)The sensitivity field distribution matrix corresponding to the flow pattern is selected by fuzzy pattern flow pattern identification.It greatly improves the sensitivity of different flow patterns to changes in the sensitivity field.2)The sensitive field matrix corresponding to the flow pattern is further expanded by the sensitive field expansion method under feature extraction.It better mitigates the effect of soft field characteristics.In addition,the optimization direction of the existing ECT image reconstruction algorithms is mainly to improve the solution accuracy of the inversion problem,and it is less involved in the optimization of the reconstruction process of the sensitive field matrix and the distribution vector of the dielectric constant in the ECT image reconstruction system.Therefore,the method has good feasibility and applicability and provides a method and idea to optimi

关 键 词：成像系统 电容层析成像 模糊模式识别 灵敏度场优化 流型识别 图像重建 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]