Gałkowski, Krzysztof - ed. ; Rogers, Eric - ed. ; Willems, Jan
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 18, number 3 (2008) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Apr 8, 2024
Apr 5, 2024
41
https://zbc.uz.zgora.pl/repozytorium/publication/88489
Edition name | Date |
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An automatic hybrid method for retinal blood vessel extraction | Apr 8, 2024 |
Tabor, Zbisław Korbicz, Józef (1951- ) - ed.
Łęski, Jacek M. Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.
Simiński, Krzysztof Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Soltani, Moez Chaari, Abdelkader Ben Hmida, Fayçal Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Pedrycz, Witold (1953- ) Vukovich, George Rutkowska, Danuta - ed. Kacprzyk, Janusz - ed. Zadeh, Lotfi A. - ed.
Gocławski, Jarosław Sekulska-Nalewajko, Joanna Gajewska, Ewa Wielanek, Marzena Zieliński, Cezary - ed.