A radon transform based approach for extraction of blood vessels in conjunctival images

Reza Pourreza, Touka Banaee, Hamidreza Pourreza, Ramin Daneshvar Kakhki

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

Abstract

This paper proposes a local Radon transform-based algorithm for extraction of blood vessels in conjunctival images. This algorithm divides the image into overlapping windows and applies Radon transform to each window. Vessel direction in each window is found by detection of peak in Radon space. The proposed algorithm is capable of extracting blood vessels with a variety of widths. According to vessel width, extracted blood vessels are classified into some predefined classes and several statistics are computed for each class. Since the Radon transform is robust against noise, proposed algorithm is noise-independent and is more robust in comparison with other available algorithms.

Original languageEnglish (US)
Title of host publicationMICAI 2008
Subtitle of host publicationAdvances in Artificial Intelligence - 7th Mexican International Conference on Artificial Intelligence, Proceedings
Pages948-956
Number of pages9
DOIs
StatePublished - 2008
Externally publishedYes
Event7th Mexican International Conference on Artificial Intelligence, MICAI 2008 - Atizapan de Zaragoza, Mexico
Duration: Oct 27 2008Oct 31 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5317 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Mexican International Conference on Artificial Intelligence, MICAI 2008
CountryMexico
CityAtizapan de Zaragoza
Period10/27/0810/31/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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