Iterative Vessel Segmentation of Fundus Images

This paper presents a novel unsupervised iterative blood vessel segmentation algorithm using fundus images. First, a vessel enhanced image is generated by tophat reconstruction of the negative green plane image. An initial estimate of the segmented vasculature is extracted by global thresholding the...

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Bibliographic Details
Published in:	IEEE transactions on biomedical engineering Vol. 62; no. 7; pp. 1738 - 1749
Main Authors:	Roychowdhury, Sohini, Koozekanani, Dara D., Parhi, Keshab K.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.07.2015
Subjects:	accuracy Algorithms Biomedical imaging Blood vessels computational complexity Databases, Factual Diagnostic Techniques, Ophthalmological fundus image Fundus Oculi Humans Image Processing, Computer-Assisted - methods Image segmentation iterative algorithm Iterative algorithms morphological reconstruction Observers Pathology Retina Retinal Vessels - anatomy & histology ROC Curve stopping criterion Vessel segmentation Accuracy vessel segmentation morphological reconstruction stopping criterion fundus image iterative algorithm computational complexity
ISSN:	0018-9294, 1558-2531, 1558-2531
Online Access:	Get full text
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