Development and Study of Image Reconstruction Algorithm for Electrical Capacitance Tomography
Yonggao Zhang, Yanli Gao, Qing Xu, Feng Zhou
Abstract
Yonggao Zhang, Yanli Gao, Qing Xu, Feng Zhou
Abstract
In order to realize measurement on line for multi-phase flow parameter using electrical capacitance tomography (ECT), it is the key to improve quality and rate of image reconstruction, which also is hot spot for researcher. In this paper, ECT image reconstruction algorithms are reviewed by their principle and recently researches on image reconstruction are introduced. The most commonly used ECT image reconstruction algorithms, LBP, Landweber iteration, MLRR were evaluated using simulations. Future possibilities on ECT image reconstruction algorithms are also discussed.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In order to realize measurement on line for multi-phase flow parameter using electrical capacitance tomography (ECT), it is the key to improve quality and rate of image reconstruction, which also is hot spot for researcher. In this paper, ECT image reconstruction algorithms are reviewed by their principle and recently researches on image reconstruction are introduced. The most commonly used ECT image reconstruction algorithms, LBP, Landweber iteration, MLRR were evaluated using simulations. Future possibilities on ECT image reconstruction algorithms are also discussed.
Key concepts: Electrical capacitance tomography, Iterative reconstruction, Reconstruction algorithm, Capacitance, Computer science, Algorithm, Image (mathematics), Image quality