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

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 4
Year of Publication: 2014
G. Ferdic Mashak Ponnaiah
S. Santhosh Baboo

Ferdic Mashak G Ponnaiah and Santhosh S Baboo. Article: Preprocessing of Fundus Image using Enhanced Hybrid Median Filter (ENHYME). International Journal of Computer Applications 89(4):31-35, March 2014. Full text available. BibTeX

	author = {G. Ferdic Mashak Ponnaiah and S. Santhosh Baboo},
	title = {Article: Preprocessing of Fundus Image using Enhanced Hybrid Median Filter (ENHYME)},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {4},
	pages = {31-35},
	month = {March},
	note = {Full text available}


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.


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