基于局部能量的电容层析成像图像融合方法

摘要

"Soft-field" nature and ill-posed problems to influence on the accuracy of image reconstruction in electrical capacitance tomography technology(ECT) , this paper presented a novel image fusion method based on local energy in the analysis of ECT basic principle and imaging algorithm. Meanwhile with linear back projection algorithm, Landweber algorithm and conjugate gradient algorithm as the basis for image reconstruction, this paper used the complementary nature of individual images, after wavelet decomposition of the reconstructed images, the more accurate images got through the integration of high-frequency coefficients and low frequency coefficients based on fusion rules of local energy and weighted averaging operator. The simulation results show that image accuracy significantly improved and removed redundant information after integration. This study provided a new method on ECT image reconstruction to make image closer to the prototype.%针对电容层析成像技术的“软场”效应和病态问题对重建图像精确度的影响,在分析电容层析成像基本原理和成像算法的基础上,提出了一种基于局部能量的电容层析成像图像融合方法.该方法以线性反投影、Landweber和共轭梯度算法作为图像重建的基础,利用各个图像的互补特性,经对重建的图像小波分解后,分别采用基于局部能量和加权平均算子融合规则对分解后图像的高频系数和低频系数进行图像的融合,得到准确度更高的成像结果.仿真实验结果表明,融合后成像精确度得到明显提高,缩小了误差,图像更接近原型,为ECT图像重建的研究提供了一个新的方法.