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Journal of Medical Imaging

Brightness-preserving fuzzy contrast enhancement scheme for the detection and classification of diabetic retinopathy disease
Author(s): Niladri Sekhar Datta; Himadri Sekhar Dutta; Koushik Majumder
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Paper Abstract

The contrast enhancement of retinal image plays a vital role for the detection of microaneurysms (MAs), which are an early sign of diabetic retinopathy disease. A retinal image contrast enhancement method has been presented to improve the MA detection technique. The success rate on low-contrast noisy retinal image analysis shows the importance of the proposed method. Overall, 587 retinal input images are tested for performance analysis. The average sensitivity and specificity are obtained as 95.94% and 99.21%, respectively. The area under curve is found as 0.932 for the receiver operating characteristics analysis. The classifications of diabetic retinopathy disease are also performed here. The experimental results show that the overall MA detection method performs better than the current state-of-the-art MA detection algorithms.

Paper Details

Date Published: 9 February 2016
PDF: 12 pages
J. Med. Img. 3(1) 014502 doi: 10.1117/1.JMI.3.1.014502
Published in: Journal of Medical Imaging Volume 3, Issue 1
Show Author Affiliations
Niladri Sekhar Datta, Future Institute of Engineering and Management (India)
Himadri Sekhar Dutta, Kalyani Government Engineering College (India)
Koushik Majumder, West Bengal Univ. of Technology (India)

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