Brightness-preserving fuzzy contrast enhancement scheme for the detection and classification of diabetic retinopathy disease

Niladri Sekhar Datta; Himadri Sekhar Dutta; Koushik Majumder

doi:10.1117/1.JMI.3.1.014502

9 February 2016 Brightness-preserving fuzzy contrast enhancement scheme for the detection and classification of diabetic retinopathy disease

Niladri Sekhar Datta, Himadri Sekhar Dutta, Koushik Majumder

Author Affiliations +

Journal of Medical Imaging, Vol. 3, Issue 1, 014502 (February 2016). https://doi.org/10.1117/1.JMI.3.1.014502

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.

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Niladri Sekhar Datta, Himadri Sekhar Dutta, and Koushik Majumder "Brightness-preserving fuzzy contrast enhancement scheme for the detection and classification of diabetic retinopathy disease," Journal of Medical Imaging 3(1), 014502 (9 February 2016). https://doi.org/10.1117/1.JMI.3.1.014502

Published: 9 February 2016

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