Obiekt

Tytuł: An automatic hybrid method for retinal blood vessel extraction

Autor:

Yang, Yong ; Huang, Shuying ; Rao, Nini

Data wydania:

2008

Typ zasobu:

artykuł

Współtwórca:

Gałkowski, Krzysztof - ed. ; Rogers, Eric - ed. ; Willems, Jan

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, volume 18 (2008)

Abstract:

The extraction of blood vessels from retinal images is an important and challenging task in medical analysis and diagnosis. This paper presents a novel hybrid automatic approach for the extraction of retinal image vessels. The method consists in the application of mathematical morphology and a fuzzy clustering algorithm followed by a purification procedure. In mathematical morphology, the retinal image is smoothed and strengthened so that the blood vessels are enhanced and the background information is suppressed. ; The fuzzy clustering algorithm is then employed to the previous enhanced image for segmentation. After the fuzzy segmentation, a purification procedure is used to reduce the weak edges and noise, and the final results of the blood vessels are consequently achieved. The performance of the proposed method is compared with some existing segmentation methods and hand-labeled segmentations. The approach has been tested on a series of retinal images, and experimental results show that our technique is promising and effective.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:78727

DOI:

10.2478/v10006-008-0036-5

Strony:

399-407

Źródło:

AMCS, volume 18, number 3 (2008) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

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