Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration | |
Chen, Jian1; Tian, Jie1; Lee, Noah; Zheng, Jian1; Smith, R. Theodore3,4; Laine, Andrew F.2 | |
发表期刊 | IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING |
2010-07-01 | |
卷号 | 57期号:7页码:1707-1718 |
文章类型 | Article |
摘要 | Detection of vascular bifurcations is a challenging task in multimodal retinal image registration. Existing algorithms based on bifurcations usually fail in correctly aligning poor quality retinal image pairs. To solve this problem, we propose a novel highly distinctive local feature descriptor named partial intensity invariant feature descriptor (PIIFD) and describe a robust automatic retinal image registration framework named Harris-PIIFD. PIIFD is invariant to image rotation, partially invariant to image intensity, affine transformation, and viewpoint/perspective change. Our Harris-PIIFD framework consists of four steps. First, corner points are used as control point candidates instead of bifurcations since corner points are sufficient and uniformly distributed across the image domain. Second, PIIFDs are extracted for all corner points, and a bilateral matching technique is applied to identify corresponding PIIFDs matches between image pairs. Third, incorrect matches are removed and inaccurate matches are refined. Finally, an adaptive transformation is used to register the image pairs. PIIFD is so distinctive that it can be correctly identified even in nonvascular areas. When tested on 168 pairs of multimodal retinal images, the Harris-PIIFD far outperforms existing algorithms in terms of robustness, accuracy, and computational efficiency. |
关键词 | Harris Detector Local Feature Multimodal Registration Partial Intensity Invariance Retinal Images |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | MUTUAL-INFORMATION ; PERFORMANCE EVALUATION ; ALGORITHM ; OPTIMIZATION ; MAXIMIZATION ; ANGIOGRAMS ; ALIGNMENT ; SEARCH ; PAIRS |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Biomedical |
WOS记录号 | WOS:000278811900018 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9726 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Columbia Univ, Dept Biomed Engn, Heffner Biomed Imaging Lab, New York, NY 10027 USA 3.Columbia Univ, Retinal Image Anal Lab, Edward S Harkness Eye Inst, New York, NY 10027 USA 4.Columbia Univ, Dept Ophthalmol, New York, NY 10027 USA |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Chen, Jian,Tian, Jie,Lee, Noah,et al. A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2010,57(7):1707-1718. |
APA | Chen, Jian,Tian, Jie,Lee, Noah,Zheng, Jian,Smith, R. Theodore,&Laine, Andrew F..(2010).A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,57(7),1707-1718. |
MLA | Chen, Jian,et al."A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 57.7(2010):1707-1718. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
10.IEEE TBE(2010).pd(711KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论