Title :
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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830377
