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Review on Image Analysis of Retinal Blood Vessel Images for Diagnosis of Diabetic Retinopathy

Published on September 2015 by Samiksha Save, Antara Dandekar, Shruti Savant
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CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 2
September 2015
Authors: Samiksha Save, Antara Dandekar, Shruti Savant
82c6f2d7-2550-4a4f-b4b2-d54a37459c5b

Samiksha Save, Antara Dandekar, Shruti Savant . Review on Image Analysis of Retinal Blood Vessel Images for Diagnosis of Diabetic Retinopathy. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 2 (September 2015), 28-30.

@article{
author = { Samiksha Save, Antara Dandekar, Shruti Savant },
title = { Review on Image Analysis of Retinal Blood Vessel Images for Diagnosis of Diabetic Retinopathy },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { September 2015 },
volume = { ICCT2015 },
number = { 2 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 28-30 },
numpages = 3,
url = { /proceedings/icct2015/number2/22643-1544/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A Samiksha Save
%A Antara Dandekar
%A Shruti Savant
%T Review on Image Analysis of Retinal Blood Vessel Images for Diagnosis of Diabetic Retinopathy
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 2
%P 28-30
%D 2015
%I International Journal of Computer Applications
Abstract

Diabetic Retinopathy (DR) is commonly occurring difficulty in Diabetes Mellitus (DM) patients. And therefore early detection of DR is effectively beneficial for the patient for further treatment of the disease. Appearance of the retinal blood vessel is a significant sign of diabetes. Out of many methods for detecting DR, segmentation of retinal vessels is currently found automated method for observing the state of retinal vessels. This paper reviews segmentation of retinal vessels by the application of various filters like High Pass filters, Laplacian filter, Sobel filter, Laplacian of Gaussian filter, Gaussian match filter, Binary Matched filter and Kirsch filter. It also reviews the results of segmentation by applying the above filters to retinal fundus image from STARE database.

References
  1. Neera Singh, Ramesh Chandra Tripathi,"Automated Early Detection of Diabetic Retinopathy Using Image Analysis Techniques", International Journal of Computer Applications (0975 – 8887) Volume 8– No. 2, October 2010
  2. S. Badawy,A. S. El-Sherbeny, El saadanyA, M. A. Fkirin,"Retinal Blood Vessel Image Segmentation Using Rotating Filtration to Help in Early Diagnosis and Management Diabetic Retinopathy", 30th NATIONAL RADIO SCIENCE CONFERENCE, April 16?18, 2013.
  3. Diabetic retinopathy is a condition occurring in persons with diabetes http://www. aoa. org/patients-and-public/eye-and-vision-problems/glossary-of-eye-and-vision-conditions/diabetic-retinopathy
  4. A. Banumathi, R. Karthika Devi, Dr. (Mrs). Raju, Dr. V. Abhai Kumar,"Performance Analysis of Matched Filter Techniques for Automated Detection of Blood Vessels in Retinal Images",TENCON,543-546, 2003.
  5. Meera Walvekar, Geeta Salunkhe,"Detection of Diabetic Retinopathy with Feature Extraction with Image processing",IJETAE Vol. 5,Issue 1, January 2015.
  6. An ophthalmologist is a medical doctor that specializes in the structure, function, and diseases of thehumaneye. http://www. ces. clemson. edu/~ahoover/stare/index. html.
Index Terms

Computer Science
Information Sciences

Keywords

Diabetic Retinopathy (dr) Diabetes Mellitus (dm) non-proliferative Diabetic Retinopathy (npdr) Proliferative Diabetic Retinopathy (pdr) Segmentation Of Retinal Image Image Filters.