Title :
An Image Reconstruction Algorithm Based on Regularization Optimization for Process Tomography
Author :
Ding, Yong-wei ; Dong, Feng
Author_Institution :
Tianjin Univ., Tianjin
Abstract :
An image reconstruction algorithm based on regularization optimization for process tomography is proposed in this paper. Through the comparison of the images reconstructed by linear back projection algorithm, sensitivity coefficient algorithm, singular value decomposition algorithm and the regularization optimization algorithm proposed in this paper, it is apparent that images can be reconstructed clearly and quickly by the regularization optimization algorithm. The regularization optimization algorithm is a very good image reconstruction algorithm both in image quality and the reconstruction speed.
Keywords :
computerised tomography; image reconstruction; image quality; image reconstruction; linear back projection; process tomography; regularization optimization; sensitivity coefficient; singular value decomposition; Conductivity; Fluid flow measurement; Image reconstruction; Phase measurement; Projection algorithms; Reconstruction algorithms; Singular value decomposition; Tomography; Velocity measurement; Voltage measurement; Image reconstruction; Linear back projection algorithm; Regularization optimization; Sensitivity coefficient algorithm; Singular value decomposition algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370424
