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Diagnosis of Diabetic Retinopathy using Blob Analysis

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Aeman Alijahan Patel, Rachna Y. Patil

Aeman Alijahan Patel and Rachna Y Patil. Diagnosis of Diabetic Retinopathy using Blob Analysis. International Journal of Computer Applications 183(32):8-11, October 2021. BibTeX

	author = {Aeman Alijahan Patel and Rachna Y. Patil},
	title = {Diagnosis of Diabetic Retinopathy using Blob Analysis},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2021},
	volume = {183},
	number = {32},
	month = {Oct},
	year = {2021},
	issn = {0975-8887},
	pages = {8-11},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2021921707},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Diabetic retinopathy is a not unusual place eye alignment in diabetic sufferers and is the principle reason of blindness within side the populace. Diagnosis of diabetic retinopathy at early stage protects sufferers from dropping their eyesight. This paper intends a laptop-based analysis primarily dependson the virtual processing of retinal photos which will assist human diagnosing diabetic retinopathy at early stage.

The venture is finished on retina photos. The set of rules is primarily based totally on locating the blood vessels and extracting them. In this way, we actually see the complicated regions along with hemorrhages. If their numbers are large (e.g. more than 5), then the attention has enormous quantity hemorrhages, for the reason that hemorrhages at the fundus are more often than not as a result of glucose stage, then we are able to say that the attention has Diabetic Retinopathy. The most important purpose of this venture is to categories the diabetic retinopathy at any eye picture . For that, first isolates blood vessels, micro aneurysm, blot hemorrhages, fovea and hrad exudates to extract function that expect the normal eye and diabetic retinopathy eye. It may be utilized by a K-Nearest


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Digital Image Processing, Diabetic retinopathy, KNN Algorithm, Machine Learning