Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse.
Retinal vessel automatic segmentation plays a great important role for analyzing fundus pathologies like diabetes, retinopathy, and hypertension. In this paper, a novel unsupervised method to automatically extract the vessels from fundus images is introduced. The method proposed a new vessel enhance...
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 7; pp. 1481 - 1497 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jul2019
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| Online Access: | View this record in EBSCOhost |