• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(6): 613-616 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.238

A Comparison and Evaluation of Computerized Methods for OD Localization and Detection in Retinal Images

Kiran Yaseen, Anam Tariq, and M. Usman Akram
Abstract—Automated localization and detection of optic disc (OD) is essential step in the analysis of digital diabetic retinopathy systems. Retinal images give unique diagnostic about eye diseases. The detection of OD helps in early detection of proliferative diabetic retinopathy. In this paper two computerized optic disc localization and detection techniques are compared. First technique is uses edge detection method to localize the OD and Hough transform method to detect the OD. Second technique uses brightest region method for OD localization and LOG filtering method for OD detection. These techniques can be used to develop automated diagnostic system for OD localization and detection. We have used publicly available DRIVE and STARE databases for the testing of the two techniques. Experimental results showed that Hough transform technique gives better results.

Index Terms—Diabetic retinopathy, optic disc, hough transform, LoG filtering, OD detection, retinal image, brightest region.

Kiran Yaseen and Anam Tariq are with Department of Software Engineering, Fatima Jinnah Women University, Rawalpindi, Pakistan (email: nzkiran70@yahoo.com, anam.tariq86@gmail.com).
M. Usman Akram is with Department of Computer Engineering, NUST, Pakistan (e-mail: usmakram@gmail.com).


Cite:Kiran Yaseen, Anam Tariq, and M. Usman Akram, "A Comparison and Evaluation of Computerized Methods for OD Localization and Detection in Retinal Images," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 613-616, 2013.

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