A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration
	Chen, Jian 1; Tian, Jie1 ; Lee, Noah ; Zheng, Jian 1; Smith, R. Theodore 3,4; Laine, Andrew F.2
刊名	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
	2010-07-01
卷号	57 期号:7 页码:1707-1718
关键词	Harris detector local feature multimodal registration partial intensity invariance retinal images
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Biomedical
研究领域[WOS]	Engineering
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记录号	WOS:000278811900018
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9726]
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, 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
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.