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Volumn , Issue , 2010, Pages 765-770

Robust matching of multi-modal retinal images using radon transform based local descriptor

Author keywords

biomedical image processing; curvature orientations histogram; feature extraction; image mosaic; multimodal; multimodal feature descriptor.; ophthalmic image processing; radon descriptor; registration; retinal imaging; transformation estimation; vessel enhancement

Indexed keywords

BIO-MEDICAL IMAGE PROCESSING; CURVATURE ORIENTATIONS HISTOGRAM; IMAGE MOSAIC; MULTI-MODAL; MULTIMODAL FEATURES; OPHTHALMIC IMAGE PROCESSING; REGISTRATION; RETINAL IMAGING; TRANSFORMATION ESTIMATION; VESSEL ENHANCEMENT;

EID: 78650954361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1882992.1883108     Document Type: Conference Paper
Times cited : (9)

References (22)
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  • 2
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    • The dual-bootstrap iterative closest point algorithm with application to retinal image registration
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    • Stewart, C.V.1    Tsai, C.L.2    Roysam, B.3
  • 9
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    • June
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    • Mar
    • Ali Can, Charles V. Stewart, Badrinath Roysam, and Howard L. Tanenbaum. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. PAMI, IEEE Transactions on, 24(3):347-364, Mar 2002.
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    • Can, A.1    Stewart, C.V.2    Roysam, B.3    Tanenbaum, H.L.4
  • 12
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  • 17
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    • Scaling and rotation invariant analysis approach to object recognition based on radon and fourier-mellin transforms
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    • Curvature orientation histograms for detection and matching of vascular landmarks in retinal images
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.