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基于动态参数的Tikhonov方法在电容成像图像重建中的应用
Image Reconstruction Using Tikhonov Regularization with Dynamic Parameter Selection for Electrical Capacitance Tomography
【摘要】 该文针对电容成像(ECT)图像重建问题的病态性,采用Tikhonov正则化方法进行图像重建,并选用三种方法动态选择正则化参数。仿真结果表明对某些流型分布,用文中所述方法得到的重建结果优于目前普遍使用的线性反投影(LBP)算法。该方法为提高ECT图像重建质量提供了新的途径。
【Abstract】 Tikhonov regularization is used to solve the ill-posedness of image reconstruction for electrical capacitance tomography(ECT).Three methods are introduced to select regularization parameter dynamically.They are the methods based on prescribed energy,discrepancy,and Miller method respectively.Numerical results show that the algorithm pre-sented in this paper is capable of providing better results over Linear Back Projection(LBP)for some permittivity distri-butions.This method provides a new way to improve real-time image reconstruction for electrical capacitance tomography.
【Key words】 ECT； image reconstruction； Tikhonov regularization； Miller method； discrepancy principle；
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2004年18期
- 【分类号】TP274.2
- 【被引频次】2
- 【下载频次】116