Segmentation of blood vessels in fundus color images by radon transform and morphological reconstruction

Reza Pourreza, Hamidreza Pourreza, Touka Banaee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we have presented an algorithm for vessel detection in retinal color images which works based on local Radon transform and morphological reconstruction. In our previous work, the algorithm was applied to conjunctival images and the performance was evaluated subjectively. In this work an extended version of the algorithm is applied to retinal images and our aim is to detect vessels in retinal images of patient people and make a good discrimination between blood vessels and other pathological elements like microaneurysms and hemorrhages which have the same color as vessels. The algorithm performance was evaluated numerically by applying it to DRIVE image database and the achieved ROC curve demonstrates its high accuracy.

Original languageEnglish (US)
Title of host publication3rd International Workshop on Advanced Computational Intelligence, IWACI 2010
Pages522-526
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event3rd International Workshop on Advanced Computational Intelligence, IWACI 2010 - Suzhou, China
Duration: Aug 25 2010Aug 27 2010

Publication series

Name3rd International Workshop on Advanced Computational Intelligence, IWACI 2010

Conference

Conference3rd International Workshop on Advanced Computational Intelligence, IWACI 2010
CountryChina
CitySuzhou
Period8/25/108/27/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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