A New Vessel Enhancement Transform on Retinal Blood Vessels Segmentation

Simple item page
dc.contributor.authorSoares, Ivoen_US
dc.contributor.authorCastelo-Branco, Miguelen_US
dc.contributor.authorPinheiro, António M. G.en_US
dc.contributor.editorPuig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pauen_US
dc.date.accessioned2018-09-19T15:19:30Z
dc.date.available2018-09-19T15:19:30Z
dc.date.issued2018
dc.description.abstractThe automatic detection of retinal blood vessels is a very important task in computer aided-diagnosis of retinal diseases. In this work a new method is proposed for the automated detection of the retinal vessels. Three new and important contributions are made. First, a new method capable of vessel enhancement is presented. Second, a new criterium to remove some false vessels caused by the proximity to bright regions is presented, avoiding the false vessels created by the presence of exudates or bright artifacts. Third, a new method that discards the false vessel regions that usually tends to appear in the border of the optic disc. This is achieved using the derivatives of the gradient magnitude local maxima over different scales. The performance evaluation is made on two publicly available databases, namely, STARE, and HRF with state-of-the-art results. Particularly, the described method reveals to be very reliable on retinal images with large pathological signs.en_US
dc.description.sectionheadersCardiovascular
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20181237
dc.identifier.isbn978-3-03868-056-7
dc.identifier.issn2070-5786
dc.identifier.pages123-127
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20181237
dc.identifier.urihttps://doi.org/10.2312/vcbm.20181237
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectImage segmentation
dc.subjectApplied computing
dc.subjectImaging
dc.titleA New Vessel Enhancement Transform on Retinal Blood Vessels Segmentationen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
123-127.pdf
Size:
3.51 MB
Format:
Adobe Portable Document Format
Download
Collections
VCBM 18: Eurographics Workshop on Visual Computing for Biology and Medicine