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An Embedded System for Watershed Based Hard Exudate Extraction

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

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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.

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Author information

Authors and Affiliations

  1. Department of ECE, Atria Institute of Technology, VTU, Bangalore, Karnataka, India

    Vasanthi Satyananda

  2. Atria Institute of Technology, Bangalore, India

    K. V. Narayanaswamy

  3. Dayanand Sagar University, Bangalore, India

    Karibasappa

Authors
  1. Vasanthi Satyananda
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  2. K. V. Narayanaswamy
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  3. Karibasappa
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Corresponding author

Correspondence to Vasanthi Satyananda .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Satyananda, V., Narayanaswamy, K.V., Karibasappa (2020). An Embedded System for Watershed Based Hard Exudate Extraction. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_91

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