Blood vessel segmentation from retinal images based on enhencement methods


YAVUZ Z., KÖSE C.

Signal Processing and Communications Applications Conference (SIU), 2014 22nd, Trabzon, Turkey, 23 - 25 April 2014, vol.1, pp.907-910

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.907-910
  • Karadeniz Technical University Affiliated: Yes

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.