NDLI: An adaptive threshold based algorithm for detection of red lesions of diabetic retinopathy in a fundus image

Content Provider	IEEE Xplore Digital Library
Author	Ganguly, Shaunak Ganguly, Shaumik Srivastava, Kshitij Dutta, Malay Kishore Parthasarathi, M. Burget, Radim Riha, Kamil
Copyright Year	2014
Description	Author affiliation: Department of Telecommunications, Brno University of Technology, Purkynova 118, 612 00, Brno, Czech Republic, European Union (Burget, Radim; Riha, Kamil) \|\| Department of Electronics and Communication Engineering, Amity University, Noida, India (Ganguly, Shaunak; Ganguly, Shaumik; Srivastava, Kshitij; Dutta, Malay Kishore; Parthasarathi, M.)
Abstract	The paper proposes an algorithm for detection of Red Lesions present in a fundus image of an eye. Red Lesions include Micro-aneurysms and Hemorrhages, which are the symptoms of Diabetic Retinopathy, a widespread eye disease which affects almost every diabetic patient at some point of the patients life. The paper presents an adaptive method to detect the red lesions present in an image. The proposed method will estimate the upper threshold and the lower threshold of the red lesions for the given fundus image individually based on local image information. The significance of the adaptive nature of this proposed algorithm is that fundus images acquired from different cameras may vary in quality and resolution. As a result the intensity of red lesions may vary from image to image. Since, the intensity of red lesions is similar to that of the blood vessels for a specific image, therefore this similarity has been utilized to develop an accurate, adaptive algorithm for the detection of red lesions, wherein every fundus image is processed with a different intensity threshold value resulting more accurate detection.
Starting Page	91
Ending Page	94
File Size	316453
Page Count	4
File Format	PDF
e-ISBN	9781479950973
DOI	10.1109/MedCom.2014.7005982
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Red Lesions Retinopathy Micro-aneurysms Blood vessels Feature extraction Adaptive optics Hemorrhages Diabetes Lesions Biomedical imaging Fundus image processing Diabetic Retinopathy
Content Type	Text
Resource Type	Article

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