Blood vessel segmentation from retinal images based on enhencement methods

Author

Yavuz, Zafer ; Kose, C.

Author_Institution

Bilgisayar Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon, Turkey

fYear

2014

fDate

23-25 April 2014

Firstpage

907

Lastpage

910

Abstract

Usage of Computer Aided Diagnostic (CAD) systems is increasing rapidly. Blood vessel segmentation on retinal fundus images could be used as a CAD system for diagnosis of various retinal diseases. In this paper, blood vessels are segmented on retinal fundus images. Firstly, Gabor filter and morphological top-hat transform are applied after preprocessing step in order to enhance blood vessels. Afterward, we performed p-tile thresholding method to obtain binary vessel image. At the last step a post processing method is applied to increase accuracy. In order to test the developed system, the images obtained from STARE and DRIVE databases are used. Finally, 94.02% of accuracy for STARE database and 94.59% of accuracy for DRIVE database are obtained as a result, which is promising.

Keywords

CAD; Gabor filters; blood vessels; diseases; eye; image enhancement; image segmentation; patient diagnosis; CAD systems; DRIVE database; Gabor filter; STARE database; binary vessel image; blood vessel segmentation; computer aided diagnostic systems; enhancement methods; morphological top-hat transform; p-tile thresholding; retinal disease diagnosis; retinal fundus images; retinal images; Accuracy; Biomedical imaging; Blood vessels; Conferences; Image segmentation; Retina; Signal processing; Vessel segmentation; gabor filter; retinal fundus image; top-hat transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830377

Filename

6830377