针对电容层析成像ECT(electrical capacitance tomography)系统的“软场”效应和病态特性及欠定性的影响,依据电容层析成像原理和成像算法的原理,提出一种基于局部方差的电容层析成像系统图像融合方法.该方法以线性反投影算法、共轭梯度算法和信赖域算法为图像重建基础,利用各个图像的互补特性,将重建图像进行小波分解后的高频分量和低频分量分别采用局部方差和加权平均融合规则融合,最后通过小波逆变换得到新的重建图像.仿真实验结果表明:融合后的图像精确度得到提高,误差变小,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.
As for electrical capacitance tomography ECT (Electrical Capacitance Tomography) system is the " soft field" effect and pathological characteristics and less qualitative effects, based on the principle of electrical ca- pacitance tomography imaging principle and imaging algorithm, proposes an image fusion method that based on the local variance for electrical capacitance tomography system. This method takes the linear back projection algorithm, conjugate gradient algorithm and the trust region algorithm all becoming foundation of image reconstruction. Be- cause of complementary characteristics of each image, the reconstructed images after wavelet decomposition of the high frequency component and low frequency component respectively using local variance and weighted average fu- sion rule fusion. Finally, by using the inverse wavelet transforms to obtain a new image reconstruction. The simula- tion experiment results show that the accuracy of image fusion after improved, the error becomes small, the image is closer to the prototype, provides a new method for the research of ECT image reconstruction.