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Reseach Article

Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database

Published on April 2015 by Deepali D. Rathod, Ramesh R. Manza, Yogesh M. Rajput
National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 1
April 2015
Authors: Deepali D. Rathod, Ramesh R. Manza, Yogesh M. Rajput
bb0a8204-fd64-4dec-a8bb-c5bb62e6702b

Deepali D. Rathod, Ramesh R. Manza, Yogesh M. Rajput . Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database. National conference on Digital Image and Signal Processing. DISP2015, 1 (April 2015), 15-22.

@article{
author = { Deepali D. Rathod, Ramesh R. Manza, Yogesh M. Rajput },
title = { Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 1 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 15-22 },
numpages = 8,
url = { /proceedings/disp2015/number1/20478-3005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A Deepali D. Rathod
%A Ramesh R. Manza
%A Yogesh M. Rajput
%T Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 1
%P 15-22
%D 2015
%I International Journal of Computer Applications
Abstract

In this paper we have extracted the retinal blood vessels using 2D Matched filter. The proposed algorithm is consisting of some preprocessing steps on RGB image like extraction of green channel; contrast limited adaptive histogram equalization, and morphological opening operation. After extraction of retinal blood vessels using matched filter, we have calculated fractal dimension for finding the architectural distortion. Accuracy is calculated using person correlation coefficient, and achieved 98. 3 % accuracy. Operations are done on the 45 images of HRF database. 15 images are of Healthy, 15 images are of Diabetic retinopathy, and 15 are of Glaucoma.

References
  1. Carla Agurto, Simon Barriga, Victor Murray, Sheila Nemeth, Robert Crammer, Wendall Bauman, Gilberto Zamora, Marios S. Pattichi, Peter Soliz, " Automatic detection of diabetic retinopathy and age-related macular degeneration in digital fundus images", Accepted for publication in Investigative Ophthalmology and Visual Sciences (IOVS), May 2011
  2. Mohan Rema, Sundaram Premkumar, Balaji Anitha, Raj Deepa, Rajendra Pradeepa and Viswanathan Mohan, "Prevalence of Diabetic Retinopathy in Urban India: The Chennai Urban Rural Epidemiology Study (CURES) Eye Study", I, Ophthalmol. Vis. Sci. July 2005 vol. 46 no. 7 2328-2333
  3. Arulmozhivarman Pachiyappan, Undurti N Das, Tatavarti VSP Murthy and Rao Tatavarti, " Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images" Pachiyappan et al. Lipids in Health and Disease 2012, 11:73
  4. Bob Zhang, LinZhang, LeiZhang, FakhriKarray, " Retinal vessel extraction by matched filter with first-order derivative of Gaussian", Computers in Biology and Medicine 40 (2010) 438–445
  5. Frédéric Zana and Jean-Claude Klein, "Segmentation of Vessel-Like Patterns Using Mathematical Morphology and Curvature Evaluation", IEEE transactions on image processing, vol. 10, no. 7, July 2001
  6. Bob Zhang a, LinZhang b, LeiZhang b, FakhriKarray, "Retinal vessel extraction by matched filter with first-order derivative of Gaussian", Computers in Biology and Medicine, 2010, Elsevier Ltd
  7. Jan Odstrcilik, Radim Kolar, Attila Budai, Joachim Hornegger, Jiri Jan, Jiri Gazarek, Tomas Kubena, Pavel Cernosek, Ondrej Svoboda, Elli Angelopoulou, " Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database", IET Image Process. , 2013, Vol. 7, Iss. 4, pp. 373–383 373 doi: 10. 1049/iet-ipr. 2012. 0455
  8. Nidhal Khdhair El Abbadi and Enas Hamood Al Saadi, " Blood vessels extraction using mathematical morphology", Journal of Computer Science 9 (10): 1389-1395, 2013 ISSN: 1549-3636 © 2013 Science Publications.
  9. Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari, Neha Deshpande, " Retinal blood vessels extraction using 2D median filter", National Conference in Advances in computing (NCAC'13), 05-06 March2013
  10. Nazneen Akhter, Yogesh Rajput, Sumegh Tharewal, K. V. Kale, Ramesh Manza, " Fractals for complexity analysis of diabetic retinopathy in retinal vasculature images", IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
  11. Stefan Talu, Stefano Giovanzana," Image analysis of the normal human retinal vasculature using fractal geometry", Human & Veterinary Medicine International Journal of the Bioflux Society, volume 4
  12. (RGB Image) http://www. mathworks. in/help/matlab/creating_plots/image-types. html
  13. Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari, Neha Deshpande, "Retinal Optic Disc Detection Using Speed Up Robust Features", National Conference on Computer & Management Science [CMS-13], April 25-26, 2013, Radhai Mahavidyalaya, Auarngabad-431003(MS India).
  14. Rajesh kumar Rai, Puran Gour, Balvant Singh " Underwater Image Segmentation using CLAHE Enhancement and Thresholding", International Journal of Emerging Technology and Advanced Engineering Website: www. ijetae. com (ISSN 2250-2459, Volume 2, Issue 1, and January 2012).
  15. (Morphological opening) http://en. wikipedia. org/wiki/Opening_(morphology)
  16. MatchedFilter)http://en. wikipedia. org/wiki/Matched_filter
  17. (Fractal Dimension) http://fractalfoundation. org/OFC/OFC-10-5. html
  18. (Pearson Correlation Coefficient) http://www. endmemo. com/statistics/cc. php
  19. Deepali D. Rathod, Ramesh R. Manza, Yogesh M. Rajput, Manjiri B. Patwari , Manoj Saswade, Neha Deshpande ,"Localization of Optic Disc and Macula using Multilevel 2-D Wavelet Decomposition Based on Haar Wavelet Transform", International Journal of Engineering Research and Technology (IJERT),ISSN:2278-0181,Vol. 3 Issue 7,July-2014
Index Terms

Computer Science
Information Sciences

Keywords

Diabetic Retinopathy Retinal Blood Vessels Matched Filter Hrf Database