An embedded system for watershed based hard exudate extraction

Title	An embedded system for watershed based hard exudate extraction
Publication Type	Conference Proceedings
Year of Conference	2020
Authors	Satyananda, V., K. V. Narayanaswamy, and K. Karibasappa
Conference Name	Joint Conferences on 18th International Conference on Intelligent Systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired Computing , NaBIC 2018
Volume	940
Pagination	978 - 987
Date Published	2020
Publisher	Springer Verlag
ISBN Number	21945357 (ISSN); 9783030166564 (ISBN)
Keywords	Department of Electronics and Communication Engineering, Scopus
Abstract	Diabetic Retinopathy is a medical condition where the exudates deposit in front of the retina which causes blurriness in the vision. To avoid this condition, early detection of exudates becomes a necessary step. Due to the amalgamation of biomedical science, artificial intelligence and machine learning, many equipment and ideas are being used for improved diagnosis. The paper discusses about an embedded system approach for detection of exudates from the fundus images. The algorithm is developed using the concepts of markers and watershed algorithm. This algorithm has been tested in MATLAB. The hardware section of the algorithm is developed on an Artix 7 FPGA. The images have been adopted from databases such as DiaRetDB0, DiaRetDB1, IDRiD and MESSIDOR. © Springer Nature Switzerland AG 2020.
DOI	10.1007/978-3-030-16657-1_91
Short Title	Adv. Intell. Sys. Comput.

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