CASIA OpenIR  > 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, Jian1; Tian, Jie1; Lee, Noah; Zheng, Jian1; Smith, R. Theodore3,4; Laine, Andrew F.2
AbstractDetection 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.
KeywordHarris Detector Local Feature Multimodal Registration Partial Intensity Invariance Retinal Images
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:000278811900018
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Cited Times:92[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorTian, Jie
Affiliation1.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
Recommended Citation
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.
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