AN IMAGE RECONSTRUCTION ALGORITHM BASED ON REGULARIZATION OPTIMIZATION FOR PROCESS TOMOGRAPHY

摘要：

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.

关键词： Image reconstruction Linear back projection algorithm Sensitivity coefficient algorithm Singular value decomposition algorithm Regularization optimization

作者: YONG-WEI DING FENG DONG

作者单位: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;Tianjin Key Laboratory of Process Measurement and Control, Tianjin 300072, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1717-1722

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）