About: Blood Vessel Segmentation in Video-Sequences From the Human Retina

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with the retinal blood vessel segmentation in fundus video-sequences acquired by experimental fundus video camera. Quality of acquired video-sequences is relatively low and fluctuates across particular frames. Especially, due to the low resolution, poor signal-to-noise ratio, and varying illumination conditions within the frames, application of standard image processing methods might be difficult in such experimental fundus images. In this study, we tried two methods for the segmentation of retinal vessels – matched filtering and Hessian-based approach, originally developed for vessel segmentation in standard fundus images. We showed that modified versions of these two approaches, combined with support vector machine (SVM), can be used also for segmentation in experimental low-quality fundus video-sequences. The SVM classifier trained and consecutively tested on the database of high-resolution images achieved classification accuracy over 94 % and thus revealed a possible applicabili This paper deals with the retinal blood vessel segmentation in fundus video-sequences acquired by experimental fundus video camera. Quality of acquired video-sequences is relatively low and fluctuates across particular frames. Especially, due to the low resolution, poor signal-to-noise ratio, and varying illumination conditions within the frames, application of standard image processing methods might be difficult in such experimental fundus images. In this study, we tried two methods for the segmentation of retinal vessels – matched filtering and Hessian-based approach, originally developed for vessel segmentation in standard fundus images. We showed that modified versions of these two approaches, combined with support vector machine (SVM), can be used also for segmentation in experimental low-quality fundus video-sequences. The SVM classifier trained and consecutively tested on the database of high-resolution images achieved classification accuracy over 94 % and thus revealed a possible applicabili (en)
Title	Blood Vessel Segmentation in Video-Sequences From the Human Retina Blood Vessel Segmentation in Video-Sequences From the Human Retina (en)
skos:prefLabel	Blood Vessel Segmentation in Video-Sequences From the Human Retina Blood Vessel Segmentation in Video-Sequences From the Human Retina (en)
skos:notation	RIV/00216305:26220/14:PU110820!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Kolář, Radim Odstrčilík, Jan Jan, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	5588
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU110820
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fundus, retina, blood vessel segmentation, image processing, video processing (en)
http://linked.open.../riv/klicoveSlovo	blood vessel segmentation retina image processing video processing fundus
http://linked.open...ontrolniKodProRIV	[730FCF0EB824]
http://linked.open...v/mistoKonaniAkce	Thira, Santorini, Greece
http://linked.open...i/riv/mistoVydani	Santorini, Greece
http://linked.open...i/riv/nazevZdroje	2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Budai, Attila Jan, Jiří Kolář, Radim Odstrčilík, Jan Tornow, Ralf-Peter
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-14 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-6748-3
http://localhost/t...ganizacniJednotka	26220

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