Salient Feature Region: A New Method for Retinal Image Registration
文献类型:期刊论文
作者 | Zheng, Jian1,2; Tian, Jie1,2![]() ![]() |
刊名 | IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
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出版日期 | 2011-03-01 |
卷号 | 15期号:2页码:221-232 |
关键词 | Retinal image registration salient feature region (SFR) |
英文摘要 | Retinal image registration is crucial for the diagnoses and treatments of various eye diseases. A great number of methods have been developed to solve this problem; however, fast and accurate registration of low-quality retinal images is still a challenging problem since the low content contrast, large intensity variance as well as deterioration of unhealthy retina caused by various pathologies. This paper provides a new retinal image registration method based on salient feature region (SFR). We first propose a well-defined region saliency measure that consists of both local adaptive variance and gradient field entropy to extract the SFRs in each image. Next, an innovative local feature descriptor that combines gradient field distribution with corresponding geometric information is then computed to match the SFRs accurately. After that, normalized cross-correlation-based local rigid registration is performed on those matched SFRs to refine the accuracy of local alignment. Finally, the two images are registered by adopting high-order global transformation model with locally well-aligned region centers as control points. Experimental results show that our method is quite effective for retinal image registration. |
WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
类目[WOS] | Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics |
研究领域[WOS] | Computer Science ; Mathematical & Computational Biology ; Medical Informatics |
关键词[WOS] | SIMILARITY MEASURES ; FEATURE-EXTRACTION ; MAXIMIZATION ; ALGORITHM ; GLAUCOMA ; ROBUST ; SCALE ; PAIRS |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000288082200007 |
源URL | [http://ir.ia.ac.cn/handle/173211/3972] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
作者单位 | 1.Chinese Acad Sci, Med Image Proc Grp, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Zheng, Jian,Tian, Jie,Deng, Kexin,et al. Salient Feature Region: A New Method for Retinal Image Registration[J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,2011,15(2):221-232. |
APA | Zheng, Jian,Tian, Jie,Deng, Kexin,Dai, Xiaoqian,Zhang, Xing,&Xu, Min.(2011).Salient Feature Region: A New Method for Retinal Image Registration.IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,15(2),221-232. |
MLA | Zheng, Jian,et al."Salient Feature Region: A New Method for Retinal Image Registration".IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 15.2(2011):221-232. |
入库方式: OAI收割
来源:自动化研究所
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