Corpus ID: 36831048

Blood vessel segmentation methodologies in retinal images – A survey

@inproceedings{Fraza2015BloodVS,
  title={Blood vessel segmentation methodologies in retinal images – A survey},
  author={M. M. Fraza and P. Remagninoa and A. Hoppea and B. Uyyanonvarab and A. R. Rudnickac and C. G. Owenc and S. A. Barmana},
  year={2015}
}
  • M. M. Fraza, P. Remagninoa, +4 authors S. A. Barmana
  • Published 2015
  • Retinal vessel segmentation algorithms are a fundamental component of automatic retinal disease screening systems. This work examines the blood vessel segmentation methodologies in two dimensional retinal images acquired from a fundus camera and a survey of techniques is presented. The aim of this paper is to review, analyze and categorize the retinal vessel extraction algorithms, techniques and methodologies, giving a brief description, highlighting the key points and the performance measures… CONTINUE READING
    Supervised Blood Vessel Segmentation in Retinal Images Using Gray level and Moment Invariant Features
    Segmentation of retinal blood vessels using normalized Gabor filters and automatic thresholding
    6
    Blood Vessel Segmentation in Retinal Fundus Images
    7

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