An Effective Contrast Enhancement Method for Identification of Microaneurysms at Early Stage

Niladri Sekhar DattaDepartment of IT, Future Institute of Engineering and Management, Kolkata, IndiaView further author information

Himadri Sekhar DuttaDepartment of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani, IndiaView further author information

Koushik MajumderDepartment of CSE, West Bengal University of Technology, Kolkata, IndiaView further author information

ABSTRACT

The presence of microaneurysms (MAs) is usually the early sign of diabetic retinopathy (DR) disease. In this study, an effective contrast enhancement scheme has been incorporated with a diabetic screening system to improve the overall quality of MAs identification technique. The proposed scheme is compared with the existing retinal image contrast enhancement methods and a better result is established. Public datasets and also low-contrast noisy images collected from hospitals are used for MA's detection, and satisfactory results are found. The results on low-contrast noisy image diagnosis established the significance of the study. A total of 587 (training = 340, testing = 247) retinal images are examined. The mean sensitivity and specificity are scored as 95.94% and 99.21%, respectively. The value of AUC is 0.932 (SD = 0.013) from the ROC analysis.

KEYWORDS:

Acknowledgments

The authors acknowledge the K.P.C Hospital, Kolkata, India for their continuous clinical support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Niladri Sekhar Datta

Niladri Sekhar Datta received his M.Tech from University of Calcutta, India, and specialization in IT. He completed B.Tech in CSE from West Bengal University of Technology, India. His research interest includes Medical Image Processing and Pattern Recognition.

E-mail: [email protected]

Himadri Sekhar Dutta

Himadri Sekhar Dutta received his Ph.D in Technology from University of Calcutta, India. His research areas include Medical Image Processing, Embedded Systems and Opto-Electronic Devices. He has published more than 25 research papers in various refereed journals and conferences.

E-mail: [email protected]

Koushik Majumder

Koushik Majumder received PhD in Engineering from Jadavpur University, India. His research interest includes Medical Image Processing and Mobile Ad hoc Networks. He has published several papers in international and national-level journals, conferences and books.

E-mail: [email protected]

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.