CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

DR Detection of Fundus Retinal Images: Review

Published on December 2014 by R D Badgujar, P J Deore
journal_cover_thumbnail

National Conference on Advances in Communication and Computing
Foundation of Computer Science USA
NCACC2014 - Number 1
December 2014
Authors: R D Badgujar, P J Deore
cacef3ec-148f-4345-90d2-f48ae5b22ed8

R D Badgujar, P J Deore . DR Detection of Fundus Retinal Images: Review. National Conference on Advances in Communication and Computing. NCACC2014, 1 (December 2014), 7-11.

@article{
author = { R D Badgujar, P J Deore },
title = { DR Detection of Fundus Retinal Images: Review },
journal = { National Conference on Advances in Communication and Computing },
issue_date = { December 2014 },
volume = { NCACC2014 },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 7-11 },
numpages = 5,
url = { /proceedings/ncacc2014/number1/19118-2001/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Communication and Computing
%A R D Badgujar
%A P J Deore
%T DR Detection of Fundus Retinal Images: Review
%J National Conference on Advances in Communication and Computing
%@ 0975-8887
%V NCACC2014
%N 1
%P 7-11
%D 2014
%I International Journal of Computer Applications
Abstract

Retinal images of humans play an important role in the detection and diagnosis of many eye diseases for ophthalmologists. Ocular fundus image can provide information on pathological changes and early signs of diabetic retinopathy. During the last decade, Retinal image analysis is maturing as a field, making steady progress towards automated detection and representation of eye diseases. This paper reviews the algorithms and techniques used for DR detection.

References
  1. World Health Organization Factsheet 2005: http://www. who. int/ mediacentre/ factsheets/ fs282/en
  2. Michael D. Abràmoff, Mona K. Garvin and Milan Sonka , 'Retinal Imaging and Image Analysis', IEEE Reviews in Biomedical Engineering, Vol. 3, 2010, pp 169-208.
  3. International Diabetes Federation, Fifth Edition 2011: http://www. idf. org/diabetesatlas/news/fifth- edition-release
  4. WHO Vision 2020: http://www. iapb. org/vision-2020/what-is-avoidable-blindness/diabetic-retinopathy
  5. J. Anitha, C. Kezi Selva Vijila and D. Jude Hemant, 'An Overview of Computational Intelligence Techniques for Retinal Disease Identification Applications (Review Paper)', International Journal of Reviews in Computing, ISSN: 2076-3328, pp 29-46.
  6. P. Perona , J. Malik, 'Scale Space and Edge Detection Using Anisotropic Diffusion' IEEE Transaction on Pattern Analysis, Vol. 12, July 1990, pp 629-639.
  7. Luo Gang, Opas Chutatape and Shankar M. Krishnan, 'Detection and Measurement of Retinal Vessels in Fundus Images using Amplitude Modified Second Order Gaussian Filter', IEEE Transactions on Biomedical Engineering, Vol. 49, No. 2, 2002, pp 168-172.
  8. Alireza Osareh, Bita Shadgar, and Richard Markham, 'A Computational Intelligence Based Approach for Detection of Exudates in Diabetic Retinopathy Images', IEEE Transactions on Information Technology in Biomedicine, Vol. 13, No. 4, July 2009, pp 535 - 545.
  9. Joao V. B. S. , Jorge J. G. L. , Roberto M. C. , Herbert F. J. , and Michael J. C. , 'Retinal Vessel Segmentation using the 2-D Morlet Wavelet and Supervised Classification', IEEE Transaction on Medical Imaging, Vol. 25, No. 9, 2006, pp 1214– 1222.
  10. Sumathy. B and Dr Poornachandra S, 'Retinal Blood Vessel Segmentation using Morphological Structuring Element and Entropy Thresholding' , IEEE Conference Computing Communication & Networking Technologies 2012, pp 1-5.
  11. Niall Pattona et all, 'Retinal Image Analysis: Concepts, Applications and Potential', Progress in Retinal and Eye Research (Elsevier), 2006, pp 99–127.
  12. Marco Foracchia, Enrico Grison and Alfredo Ruggeri, 'Luminosity and Contrast Normalization in Retinal Images', Medical Image Analysis (Elsevier), Vol. 9, 2005, pp 179-190.
  13. Peng Feng , Ying-jun Pan, Biao Wei, Wei Jin and De-ling Mi , 'Enhancing Retinal Image by the Contourlet Transform', Pattern Recognition Letters ( Elsevier) , Vol. 28, 2007, pp 516-522.
  14. Salvatelli A. , Bizai G. , Barbosa G. , Drozdowicz and Delrieux , 'A Comparative Analysis of Pre-processing Techniques in Color Retinal Images', Journal of Physics: Conference series 90, 2007.
  15. George K. M. , Pantelis A. A. , Konstantinos K. D. , Nikolaos A. M. , Thierry G. Z. , 'Detection of Glaucomatous Change Based on Vessel Shape Analysis', Computerized Medical Imaging and Graphics, Vol. 32, 2008, pp 183-192.
  16. A Hoover, V. Kouznetsova, and M. Goldbaum, 'Locating Blood Vessels in Retinal Images by Piecewise Threshold Probing of a Matched Filter Response', Transaction on Medical Imaging, Vol. 19, No. 3, 2000, pp 203-210,.
  17. J. Y. B. Soares, J. J. G. Leandro, R. M. Cesar, Jr. , H. F. Jelinek, and M. J. Cree, 'Retinal Vessel Segmentation using the 2-D Gabor Wavelet and Supervised Classification', Transaction on Medical Imaging, Vol. 25, No. 9, 2006, pp 1214-1222.
  18. Elisa Ricci and Renzo Perfetti, 'Retinal Blood Vessels Segmentation using Line Operators and Support Vector Classification', IEEE Transaction on Medical Imaging, Vol. 26, No. 10, 2007, pp 1357- 1365.
  19. D. Marin, A. Aquino, M. E. Gegundez-Arias, J. M. Bravo, 'A New Supervised Method for Blood Vessel Segmentation in Retinal Images by using Gray-Level and Moment Invariants Based Features', IEEE Transactions on Medical Imaging, Vol. 30,2011, pp 146–158.
  20. S. Chaudhari, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, 'Detection of Blood Vessels in Retinal Images using Two-Dimensional Matched Filters', IEEE Transactions on Medical Imaging, Vol. 8, No. 3,1989, pp 263-269.
  21. Zana F. , and Klein J. C. , 'A Multimodal Registration Algorithm of Eye Fundus Images using Vessels Detection and Hough Transform', IEEE Transactions on Medical Imaging, Vol. 18, No. 5, 1999, pp 417- 427.
  22. Cornforth D. J. , Jelinek H. J. , Leandro J. J. G. , Soares J. V. B. , Cesar,Jr R. M. , Cree M. J. , Mitchell P. , Bossomaier T. , 'Development of Retinal Blood Vessel Segmentation Methodology using Wavelet Transforms for Assessment of Diabetic Retinopathy', Complexity International, 2005, pp 50-60.
  23. Elena Martinez-Perez M. , Alun D. H. , Simon A. T. , Anil A. B. , Kim H. P. , 'Segmentation of Blood Vessels from Red Free and Fluorescein Retinal Images', Medical Image Analysis (Elsevier), Vol. 11, 2007, pp 47-61.
  24. Marios Vlachos, Evangelos Dermatas , 'Multi-Scale Retinal Vessel Segmentation using Line Tracking', Computerized Medical Imaging and Graphics, Vol. 34, 2010, pp 213-227.
  25. Vermeer K. A. , Vos F. M. , Lemij H. J. , Vossepoel A. M. , 'A model Based Method for Retinal Blood Vessel Detection', Computers in Biology and Medicine ( Elsevier), Vol. 34, 2004, pp 209-219.
  26. Harihar Narasimha-Iyer, 'Automatic Identification of Retinal Arteries and Veins from Dual- Wavelength Images Using Structural and Functional Features', IEEE Transaction on Biomedical Imaging, Vol. 54, No. 8, 2007, pp 1427-1444.
  27. Gagnon L. , Lalonde M. , Beaulieu M. , Boucher M. C. , 'Procedure to Detect Anatomical Structures in Optical Fundus Images', Proceedings of SPIE Medical Imaging: Image Processing, Vol. 4322, 2001, pp 1218–1225.
  28. Kenneth W. T. , Edward Chaum, Priya Govindasamy V. and Thomas P. K. ,'Detection of Anatomic Structures in Human Retinal Imagery', IEEE Transactions on Medical Imaging, Vol. 26, No. 12, 2007, pp 1729-1739.
  29. Tapio Fabritius, Shuichi Makita, Masahiro Miura, Risto Myllyla and Yoshiaki Yasuno , 'Automated Segmentation of the Macula by Optical Coherence Tomography', Optics Express, Vol. 17, Issue 18, 2009, pp 15659-15669.
  30. Thitiporn Chanwimaluang and Guoliang Fan ,'An Efficient Algorithm for Extraction of Anatomical Structures in Retinal Images', Proceedings of International Conference on Image Processing, Vol. 1, 2003, pp 1093–1096.
  31. Huiqi Li and Opas chutatape ,'Automated Feature Extraction in Color Retinal Images by a Model Based Approach', IEEE Transactions on Biomedical Engineering, Vol. 51, No. 2, 2010, pp 246-253.
  32. Chrastek R. , Wolf M. , Donath K. , Niemann H. , Paulus D. , Hothorn T. , Lausen B. , Lammer R. , Mardin C. Y. , Michelson G. , 'Automated Segmentation of the Optic Nerve Head for Diagnosis of Glaucoma', Medical Image Analysis, Vol. 9, 2005, pp 297-314.
  33. Abramoff M. D. , Alward W. L. M. , Greenlee E. C. , Lesya Shuba, Kim C. Y. , Fingert J. H. and Kwon Y. H. , 'Automated Segmentation of the Optic Disc from Stereo color Photographs Using Physiologically Plausible Features', Investigative Ophthalmology and Visual Science, Vol. 48, No. 4, 2007, pp 1665-1673.
  34. Juan Xu , 'Automated Optic Disk Boundary Detection by Modified Active Contour Model', IEEE Transactions on Biomedical Engineering, Vol. 54, No. 3, 2007, pp 473-482.
  35. Gwenole Quellec, Stephen R. Russell, and Michael D. Abràmoff, 'Optimal Filter Framework for Automated, Instantaneous Detection of Lesions in Retinal Images', Vol. 30, No. 2, 2011, pp 523-533.
  36. Carla Agurto, Victor Murray, Eduardo Barriga,Sergio Murillo, Marios Pattichis, Herbert Davis, Stephen Russell,Michael Abràmoff, and Peter Soliz, 'Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection', IEEE Transactions on Medical Imaging, Vol. 29, No. 2, 2010, pp 502-512
  37. Balint Antal, and Andr´as Hajdu, 'An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading', IEEE Transactions on Biomedical Engineering, Vol. 59, No. 6, 2012, pp 1720-1726.
  38. Ramon Pires, Herbert F. Jelinek, Jacques Wainer, Siome Goldenstein, Eduardo Valle, and Anderson Rocha, 'Assessing the Need for Referral in Automatic Diabetic Retinopathy Detection ', IEEE Transactions on Biomedical Engineering, Vol. 60, No. 12, 2013, pp 3391-3398
  39. Conor Heneghan, John Flynn, Michael O Keefe, Mark Cahill , 'Characterization of Changes in Blood Vessel Width and Tortuosity in Retinopathy of Prematurity using Image Analysis', Medical Image Analysis, Vol. 6, 2002, pp 407-429.
  40. Alireza Osareh , Mirmehdi M. , Thomas B. , Markham R. , 'Automated Identification of Diabetic Retinal Exudates in Digital Colour Images', British Journal of Ophthalmology, Vol. 87,2003, pp 1220-1223.
  41. Alan D. F. , Sam Philip, Keith A. G. , John A. O. and Peter F. S. , 'Automated Microaneurysm Detection using Local Contrast Normalization and Local Vessel Detection', IEEE Transactions on Medical Imaging, Vol. 25, No. 9, 2006, pp 1223-1232.
  42. Jagadish Nayak, Subbanna Bhat , 'Automated Identification of Diabetic Retinopathy Stages using Digital Fundus Images', Journal of medical systems, Vol. 32, 2008, pp 107-115.
Index Terms

Computer Science
Information Sciences

Keywords

Fundus Image Segmentation Diabetic Retinopathy (dr) Microaneurysms And Retinal Diseases.