Retinal Vessel Segmentation Using A New Topological Method
Martin Brooks
TL;DR
This paper introduces a new topological method for segmenting retinal blood vessels, representing them as connected regions with specific shape and geometric properties, demonstrated on the DRIVE database.
Contribution
It presents a novel topological segmentation technique that captures shape and geometric features of retinal vessels, improving analysis accuracy.
Findings
Effective segmentation of retinal vessels demonstrated on DRIVE database
Topological approach captures shape-related properties of vessels
Method shows promising results compared to traditional techniques
Abstract
A novel topological segmentation of retinal images represents blood vessels as connected regions in the continuous image plane, having shape-related analytic and geometric properties. This paper presents topological segmentation results from the DRIVE retinal image database.
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Taxonomy
TopicsRetinal Imaging and Analysis · Glaucoma and retinal disorders · Digital Imaging for Blood Diseases