Találati lista | Tudóstér

001-es BibID:	BIBFORM039386
Első szerző:	Lázár István (programtervező matematikus)
Cím:	Segmentation of Vessels in Retinal Images Based on Directional Height Statistics / Lázár István, Hajdu András
Dátum:	2012
ISSN:	1557-170X
Megjegyzések:	In this paper we present a fast and simple, yet accurate method for the segmentation of retinal blood vessels. Many diseases of the eye result in the distortions of the vessels. The precise location of the major optic veins may be used for the localization of other anatomical parts, such as the macula and the optic disc. Also, many microaneurysm detection methods consider an additional vessel segmentation step. The proposed method realizes the recognition of vessels through considering cross-sections of the image at different orientations. Peaks on the profiles are localized and their heights are measured. This way, a set of height values are assigned to every pixel of the image. Simple statistics are calculated for every pixel, and combined to construct a vessel score map. We apply a simple thresholding procedure and postprocessing step to obtain a binary vessel mask. The method has been tested on the publicly available DRIVE database, and it proved to be competitive with the state-of-the-art.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok konferenciacikk orvosi képfeldolgozás Doktori iskola
Megjelenés:	Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. - 34 (2012), p. 1458-1461. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Pályázati támogatás:	TÁMOP-4.2.2/B-10/1-2010-0024 TÁMOP Informatikai Tudományok Doktori Iskola
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
Borító:
Saját polcon: