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Volumn 4, Issue , 2002, Pages 2010-2015

Automatic retinal image registration based on blood vessels feature point

Author keywords

Blood vessel segmentation; Feature points extraction; Image registration; Retinal image

Indexed keywords

ALGORITHMS; ANGIOGRAPHY; BLOOD VESSELS; FEATURE EXTRACTION; IMAGE SEGMENTATION; MEDICAL IMAGING;

EID: 0036929955     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (6)
  • 1
    • 0032585839 scopus 로고    scopus 로고
    • Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms
    • Ali Can.Rapid Automated Tracing and Feature Extraction from Retinal Fundus Images Using Direct Exploratory Algorithms.IEEE Transaction on Information Technology in Biomedicine 1999, 3 (2)
    • (1999) IEEE Transaction on Information Technology in Biomedicine , vol.3 , Issue.2
    • Can, A.1
  • 5
    • 0032588588 scopus 로고    scopus 로고
    • A multimodal registration algorithm of eye fundus image using vessels detection and hough transform
    • F.Zana and J.C.Klein. A Multimodal Registration Algorithm of Eye Fundus Image Using Vessels Detection and Hough Transform. IEEE Trans. On Medical Imaging, 1999, 18(5)
    • (1999) IEEE Trans. on Medical Imaging , vol.18 , Issue.5
    • Zana, F.1    Klein, J.C.2
  • 6
    • 0033623974 scopus 로고    scopus 로고
    • Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
    • Adam Hoover, Valentina Kouznetsova, and Michael Goldbaum, Locating Blood Vessels in Retinal Images by Piecewise Threshold Probing of a Matched Filter Response IEEE Transactions on Medical2000, 19 (3)
    • IEEE Transactions on Medical2000 , vol.19 , Issue.3
    • Hoover, A.1    Kouznetsova, V.2    Goldbaum, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.