Conference Paper2011Cited by 2

High speed detection of fundus optical disc

M Islamuddin Ahmed, M Ashraful Amin

14th International Conference on Computer and Information Technology (ICCIT 2011)

IEEE, pp. 167–172

DOI: 10.1109/iccitechn.2011.6164777URL

Abstract

In this paper a fast method has been proposed for the detection of optical disc in retinal fundus image using mean intensity values, to be used in retinal image based person authentication system. The proposed method uses pixel intensity in green channel of RGB image and candidate based approach to detect optical disc location. Proposed system has been successfully tested on DRIVE, MESSIDOR, VARIA, VICAVR and DIARETDB_01 publicly available standard databases and produced 97.5%, 97.8%, 94%, 93.1% and 86.5% accuracy respectively.

Keywords

  • fundus images
  • Messidor
  • Varia
  • optic disc detection
  • DRIVE dataset
  • mean intensity

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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Cited By

  1. 1.M Islamuddin Ahmed, M Abdul Awal, M Ashraful Amin. (2012). Biometric authentication using circular segment around optical disc. , 1, 178–183[10.1109/iciev.2012.6317387]
  2. 2.Mislamuddin Ahmed, Bruce Poon, MD. Jewel, M Ashraful Amin, Hong Yan. (2012). Fundus phase congruency based biometrics system. , 1, 1668–1674[10.1109/icmlc.2012.6359625]
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