Prior Image Induced Regularization Method for Electrical Capacitance Tomography

Prior Image Induced Regularization Method for Electrical Capacitance Tomography

The image reconstruction is a crucial step in the electrical capacitance tomography. This paper presents a new methodology for improving the reconstruction accuracy. The prior image induced regularization from the deep convolutional extreme learning machine (DCELM) is introduced, which is integrated...

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Bibliographic Details
Main Authors: Pan Chu, Jing Lei, Qibin Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Prior image induced regularization
image reconstruction
inverse problem
deep convolutional extreme learning machine
iterative imaging method
electrical capacitance tomography
Online Access:https://ieeexplore.ieee.org/document/8572696/

Internet

https://ieeexplore.ieee.org/document/8572696/

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