Detection of Blindness Caused by Diabetic Retinopathy Using Computer Vision

Authors

  • J. Saravana Kumar Student, Department of Information Technology, Panimalar College of Engineering, Chennai, India
  • G. Sathish Student, Department of Information Technology, Panimalar College of Engineering, Chennai, India
  • P. Karthik Student, Department of Information Technology, Panimalar College of Engineering, Chennai, India
  • S. Umesh Student, Department of Information Technology, Panimalar College of Engineering, Chennai, India
  • B. Karthikeyan Assistant Professor, Department of Information Technology, Panimalar College of Engineering, Chennai, India

Keywords:

Euclidean distance, Feature extraction, Image pre- processing, Image segmentation, Leaf classification, Specie Recognition

Abstract

The study relies on the rising state of affairs within the developing world, suggesting diabetic retinopathy could presently be a serious drawback within the clinical world because it may be a major reason for cecity. Hence, detection of diabetic retinopathy is vital. This paper focuses on analysing the retinal pictures traditional or abnormal and finding the metrics of DR by mistreatment Raspberry Pi kit. To observe the diabetic retinopathy from retinal pictures mistreatment python through Threshold, Colour-k suggests that bunch algorithmic program, water algorithmic program, mean shift algorithm program, distance algorithmic program.

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Published

08-09-2020

How to Cite

[1]
J. S. Kumar, G. Sathish, P. Karthik, S. Umesh, and B. Karthikeyan, “Detection of Blindness Caused by Diabetic Retinopathy Using Computer Vision”, IJRESM, vol. 3, no. 8, pp. 583–587, Sep. 2020.

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Articles