光学学报, 2020, 40 (21): 2111004, 网络出版: 2020-10-25   

基于双能CT图像域的DL-RTV多材料分解研究 下载: 1140次

Image-Domain Multimaterial Decomposition for Dual-Energy CT Based on Dictionary Learning and Relative Total Variation
作者单位
1 重庆大学机械传动国家重点实验室, 重庆 400044
2 重庆大学光电技术及系统教育部重点实验室, 重庆 400044
3 重庆大学工业CT无损检测教育部工程研究中心, 重庆 400044
4 重庆工商大学数学与统计学院, 重庆 400067
引用该论文

降俊汝, 余海军, 龚长城, 刘丰林. 基于双能CT图像域的DL-RTV多材料分解研究[J]. 光学学报, 2020, 40(21): 2111004.

Junru Jiang, Haijun Yu, Changcheng Gong, Fenglin Liu. Image-Domain Multimaterial Decomposition for Dual-Energy CT Based on Dictionary Learning and Relative Total Variation[J]. Acta Optica Sinica, 2020, 40(21): 2111004.

参考文献

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降俊汝, 余海军, 龚长城, 刘丰林. 基于双能CT图像域的DL-RTV多材料分解研究[J]. 光学学报, 2020, 40(21): 2111004. Junru Jiang, Haijun Yu, Changcheng Gong, Fenglin Liu. Image-Domain Multimaterial Decomposition for Dual-Energy CT Based on Dictionary Learning and Relative Total Variation[J]. Acta Optica Sinica, 2020, 40(21): 2111004.

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