• Jan 05, 2017 News![CFP] 2017 the annual meeting of IJFCC Editorial Board, ICCTD 2017, will be held in Paris, France during March 20-22, 2017.   [Click]
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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. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
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): 600-603 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.235

A Comparison and Evaluation of Computerized Methods for Blood Vessel Enhancement and Segmentation in Retinal Images

Safia Shabbir, Anam Tariq, and M. Usman Akram
Abstract—Diabetic retinopathy is caused by complications of diabetes, which can eventually lead to blindness. As new blood vessels form at the back of the eye as a part of diabetic retinopathy (DR), they can bleed and blur vision. Detection of these new vessels and their structure in retinal images is very important for diagnosis of diabetic retinopathy. In this paper two different techniques have been compared. First technique uses Gaussian filtering for preprocessing, LoG filtering for enhancement and adaptive thresholding for segmentation purpose. Second technique uses unsharp masking for preprocessing, Gabor wavelet for enhancement and global thresholding for segmentation. The performance of these systems is evaluated on publicly available DRIVE and STARE databases of manually labeled images. Experimental results show that Gabor wavelet method gives best results for vessel enhancement and global threshold gives good results for vessel segmentation in retinal images.

Index Terms—Blood vessel, DIABETIC retinopathy (DR), retinal images, unsharp masking, gabor wavelet transform, adaptive thresholding, log filtering, enhancement, segmentation.

The authors are with the Department of Software Engineering, Fatima Jinnah Women University, Rawalpindi, Pakistan (e-mail: safia_shabbir@hotmail.com, anam.tariq86@gmail.com, usmakram@gmail.com).

[PDF]

Cite:Safia Shabbir, Anam Tariq, and M. Usman Akram, "A Comparison and Evaluation of Computerized Methods for Blood Vessel Enhancement and Segmentation in Retinal Images," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 600-603, 2013.

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