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Preprocessing of Fundus Image using Enhanced Hybrid Median Filter (ENHYME)

by G. Ferdic Mashak Ponnaiah, S. Santhosh Baboo
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 4
Year of Publication: 2014
Authors: G. Ferdic Mashak Ponnaiah, S. Santhosh Baboo
10.5120/15493-4366

G. Ferdic Mashak Ponnaiah, S. Santhosh Baboo . Preprocessing of Fundus Image using Enhanced Hybrid Median Filter (ENHYME). International Journal of Computer Applications. 89, 4 ( March 2014), 31-35. DOI=10.5120/15493-4366

@article{ 10.5120/15493-4366,
author = { G. Ferdic Mashak Ponnaiah, S. Santhosh Baboo },
title = { Preprocessing of Fundus Image using Enhanced Hybrid Median Filter (ENHYME) },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 4 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number4/15493-4366/ },
doi = { 10.5120/15493-4366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:24.816266+05:30
%A G. Ferdic Mashak Ponnaiah
%A S. Santhosh Baboo
%T Preprocessing of Fundus Image using Enhanced Hybrid Median Filter (ENHYME)
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 4
%P 31-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detection of Optic disc (OD) in a fundus image is a foremost important step in the process of screening the diabetic retinopathy[1,2,3]. Hard Exudates detection algorithms usually find lot of false positives since the intensity and color distribution of OD will much resemble that of a Hard Exudates region[4,5]. So, most of the Exudates detection algorithms will miss classify the pixels at the OD region as Hard Exudates[6]. In our previous works, we used Genetic Algorithm(GA)[7,8] to find the OD location and size and reduced overall time, even doing the search on the entire problem space and also removed false hard exudates. In this work we are improving Hard Exudates detection accuracy using gradient index mapping technique applied on two similar planes of the RGB. An appropriate preprocessing will yield an accurate result in the furher research stage. The new preprocessing algorithm is termed as Enhanced Hybrid Median Filter shortly named as ENHYME. The database used for this preprocessing is DIARETDB1[9] for evaluation and comparision with the existing methods.

References
  1. TomiKauppi, HeikkiKälviäinen, "Simple and Robust Optic Disc Localisation Using ColourDecorrelated Templates", Advanced Concepts for Intelligent Vision Systems, 10th International Conference, ACIVS 2008, Juan-les-Pins, France, October 20-24, 2008.
  2. Analysis of retinal fundus images for grading of diabeticretinopathy severityM. H. Ahmad Fadzil• Lila IznitaIzhar•HermawanNugroho•HanungAdiNugroh
  3. Wikipedia. Eyewikipedia,thefreeencyclopedia. Electronic material(Online).
  4. National Eye Institute, National Institute of Health.
  5. . Dr. lee Kai Yuen(private practice) Tsang CY Luke, Lam Hon Man,et. al. (Family Medicine Service,Department of Health,HKSAR).
  6. C. Jayakumari and T. Santhanam, "Detection of Hard Exudates for Diabetic Retinopathy Using contextual Clustering and Fuzzy Art Neural Network", Asian Journal of Information technology, Vol. 6,No8,pp. 842-846,2007.
  7. Automatic optic disk detection and removal of false exudates for improving retinopathy classification. G. Ferdic Mashak Ponnaiah, Capt,Dr. Santhosh Baboo
  8. GA based automatic optic disc detection in fundus image using the blue channel and green channel information G. Ferdic Mashak Ponnaiah, Capt. Dr. Santhosh Baboo
  9. "DIARETDB1 - Standard Diabetic Retinopathy Database Calibration level 1
  10. A Comparative Evaluation of Preprocessing Methods for Automatic Detectionof Retinal Anatomy Aliaa A. A. Youssif, Atef Z. Ghalwash, and Amr S. Ghoneim Department of Computer Science, the Faculty of Computers and Information,Helwan University, Cairo, Egypt
  11. Removal of High Density Salt and Pepper noise Through Modified Decision BaseUnsymmetricTrimmed Median Filter S. Esakkirajan, T. Veerakumar, Adabala N. Subramanyam, and C. H. PremChand
  12. Color Image Segmentation: A State-of-the-Art Survey L. Luccheseyz and S. K. MitrayDept. of Electrical and Computer Eng. , University of California, Santa arbarazDept. Of Electronics and Informatics, University of Padua, Italy
Index Terms

Computer Science
Information Sciences

Keywords

Diabetic Retinopathy Hard Exudates Optic Disc Detection.