Detection of Blindness Caused by Diabetic Retinopathy Using Computer Vision
Keywords:Euclidean distance, Feature extraction, Image pre- processing, Image segmentation, Leaf classification, Specie Recognition
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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Copyright (c) 2020 J. Saravana Kumar, G. Sathish, P. Karthik, S. Umesh, B. Karthikeyan
This work is licensed under a Creative Commons Attribution 4.0 International License.