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Intensity-based robust similarity for multimodal image registration

文献类型：期刊论文

作者Du, J; Tang, SY; Jiang, TZ; Lu, ZS
刊名INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
出版日期2006
卷号83期号:1页码:49-57
关键词multimodal registration forward and inverse transform robust estimation multi-resolution technique optimization
英文摘要This paper proposes a new intensity-based similarity metric that can be used for the registration of multimodal images. It combines the robust estimation with both the forward and inverse transformation to reduce the negative effects of outliers in the images. For this purpose, we firstly employ the multiresolution technique to downsample the original images, then resort to the simulated annealing method to initialize the transformation parameters at the coarsest resolution. Finally the Powell method is utilized to obtain the optimal transformation parameters at each resolution. In our experiments, the new method is compared to other popular similarity measures, on the synthetic data as well as the real data, and the experimental results are encouraging.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Mathematics, Applied
研究领域[WOS]Mathematics
关键词[WOS]MUTUAL INFORMATION ; BRAIN IMAGES ; OPTIMIZATION ; ALGORITHM ; VISION ; MRI ; CT
收录类别SCI
语种英语
WOS记录号WOS:000234633000005
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9225]  
专题自动化研究所_09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
3.Beijing Inst Technol, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Du, J,Tang, SY,Jiang, TZ,et al. Intensity-based robust similarity for multimodal image registration[J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS,2006,83(1):49-57.
APA Du, J,Tang, SY,Jiang, TZ,&Lu, ZS.(2006).Intensity-based robust similarity for multimodal image registration.INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS,83(1),49-57.
MLA Du, J,et al."Intensity-based robust similarity for multimodal image registration".INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 83.1(2006):49-57.

入库方式： OAI收割

来源：自动化研究所

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