DocumentCode :
714433
Title :
Retinal vasculature segmentation based on fast level set method
Author :
Dizdaroglu, Bekir
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon, Tunisia
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
855
Lastpage :
858
Abstract :
In this paper, a level set approach has been developed for segmentation of retinal vasculature. There have been a few studies for segmenting of blood vessels in the retinal images based on the level set method in the literature. Because of the structure of blood vessels, it is difficult to develop such an approach. However, recently many level set methods have been developed to overcome such problems. In this study, an approach based on an augmented Lagrangian method that produces faster and more accurate results for the segmentation of blood vessels has been proposed. The accuracy of the presented method was also supported by a visual result.
Keywords :
blood vessels; eye; image segmentation; medical image processing; augmented Lagrangian method; blood vessels; fast level set method; retinal images; retinal vasculature segmentation; Art; Biomedical imaging; Blood vessels; Image edge detection; Image segmentation; Level set; Retina; Retinal image; augmented Lagrangian method; fast marching method; hybrid phase map; image segmentation; level set; nonuniform intenstiy distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7129963
Filename :
7129963
Link To Document :
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