基于模糊阈值分割的ECT图像重建方法  

Image reconstruction method for ECT based on fuzzy thresholding algorithm

作　　者：董向元[1] 郭淑青[1] 刘石[2] 

机构地区：[1]中原工学院能源与环境学院,河南郑州450007 [2]华北电力大学动力工程系,北京102206

出　　处：《传感器与微系统》2008年第6期50-52,共3页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(60672151)

摘　　要：电容层析成像(ECT)技术是近年来发展较快的过程成像技术之一,图像重建算法是其应用的关键。但由于ECT的软场特性,重建的图像往往具有边界模糊效应。提出一种基于模糊阈值的ECT图像重建方法。该方法采用Landweber法进行图像重建,引入模糊阈值法确定重建图像的最佳阈值。采用仿真实验对该方法进行了验证,结果表明:该方法重建图像精度较高,具有较大的实用价值。Electrical capacitance tomography （ECT） is one of process tomography techniques which developed rapidly in recent years. The reconstruction algorithm for ECT is the key to its application in industries. Due to the so-called ＇ soft-field＇ effect, the reconstruction algorithm often produces distorted images. An image reconstruction method for ECT based on fuzzy thresholding algorithm is presented. Landweber algorithm is used for image reconstruction. And the fuzzy thresholding algorithm is introduced to determine the best threshold value for the reconstructed image. The simulation experiments are carried out to evaluate the new method. The results show that the new method can produce high quality images. And it shows a good potential for applying.

关 键 词：电容层析成像 模糊阈值 图像重建 两相分布 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]