Optimization of an iterative image reconstruction algorithm for electrical capacitance tomography
Optimization of an iterative image reconstruction algorithm for electrical capacitance tomography
复制标题
DOI：
10.1088/0957-0233/10/7/102
复制
发表时间：
1999-07
影响因子：
2.4
通讯作者：
Siyi Liu;L. Fu;Wuqiang Yang
中科院分区：
文献类型：
--
作者：
Siyi Liu;L. Fu;Wuqiang Yang
由于电容层析成像的“软场”性质，为了获得高质量的图像，有必要采用迭代方法进行图像重建。在迭代算法中，重要的是确定增益因子，即，接近收敛点的步长，因为它可能导致发散或减慢迭代过程。通常步长是固定的。在这篇文章中，给出了一种确定迭代算法最优步长的方法。实验证明了该方法的有效性。
Due to the 'soft-field' nature of electrical capacitance tomography, it is necessary to employ an iterative approach for image reconstruction in order to obtain good-quality images. In an iterative algorithm it is important to determine the gain factor, i.e., the step length approaching the converging point, because it may either cause divergence or slow down the iterative process. Usually the step length is fixed. In this communication, a method to determine the optimal step length is derived for an iterative algorithm. The efficiency of the method has been demonstrated experimentally.