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Gradation of Diabetic Retinopathy Using KNN Classifier by Morphological Segmentation of Retinal Vessels

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International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 628))

Abstract

The extraction of blood vessels by morphological segmentation and the detection of the severity of diabetic retinopathy are proposed in this paper. The proposed algorithm extracts the finest vessels in the retina within a remarkably reduced computational time. The extracted blood vessel features being fed to KNN classifier determine the stage of Diabetic Retinopathy. The performance analysis is carried out which comes out to be of 94% along with the sensitivity (81.45%), specificity (96.25%), and accuracy (95.3%) defines the efficiency of the proposed system.

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Acknowledgements

Thanks to DRIVE database for making the retina vessels publicly available.

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Authors and Affiliations

  1. Electronics and Communication Engineering, St. Thomas’ College of Engineering & Technology, Kolkata, India

    Shreyasi Bandyopadhyay & Sabarna Choudhury

  2. Computer Science Engineering, St. Thomas’ College of Engineering & Technology, Kolkata, India

    S. K. Latib

  3. Computer Science Engineering, Jalpaiguri Engineering College, Jalpaiguri, India

    Dipak Kumar Kole

  4. Information Technology, Indian Institute of Engineering Science & Technology, Shibpur, India

    Chandan Giri

Authors
  1. Shreyasi Bandyopadhyay
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  2. Sabarna Choudhury
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  3. S. K. Latib
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  4. Dipak Kumar Kole
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  5. Chandan Giri
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Corresponding author

Correspondence to Shreyasi Bandyopadhyay .

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Editors and Affiliations

  1. R.L. Jalappa Institute of Technology, Doddaballapur, Bengaluru, Karnataka, India

    M. Sreenivasa Reddy

  2. R.L. Jalappa Institute of Technology, Doddaballapur, Bengaluru, Karnataka, India

    K. Viswanath

  3. R.L. Jalappa Institute of Technology, Doddaballapur, Bengaluru, Karnataka, India

    Shiva Prasad K.M.

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Bandyopadhyay, S., Choudhury, S., Latib, S.K., Kole, D.K., Giri, C. (2018). Gradation of Diabetic Retinopathy Using KNN Classifier by Morphological Segmentation of Retinal Vessels. In: Reddy, M., Viswanath, K., K.M., S. (eds) International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications . Advances in Intelligent Systems and Computing, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-5272-9_18

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  • DOI: https://doi.org/10.1007/978-981-10-5272-9_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5271-2

  • Online ISBN: 978-981-10-5272-9

  • eBook Packages: EngineeringEngineering (R0)

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