A Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy

A Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy

Sayali.S.Khot

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Dr. S.S.Chorage

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Savitribai Phule Pune University

A Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy

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Abstract

Ophthalmology is an important term of medical field, which helps to visualize various diseases and treat them accordingly. Fundus images are processed so as to treat diseases like glaucoma, vein occlusions, and diabetic retinopathy (DR), obesity, glaucoma etc. There are types of supervised and unsupervised types of algorithms used so as to segment the Fundus images. There are three types of datasets available DRIVE, STARE and CHASE_DB1. These data sets are being segmented with the help of Laplace operator. This method makes preprocessing of images by using adaptive histogram equalization by CLAHE algorithm. The first step is to extract green channel and segment this image by using Laplace operator.

References

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Sohini Roychowdhury,Dara Koozekanani,Keshab Parhi (2015). Iterative Vessel Segmentation of Fundus Images.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Sayali.S.Khot. 2016. \u201cA Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F3): .

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GJCST Volume 16 Issue F3
Pg. 21- 24

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-F Classification: I.4, B.4.2, I.3.3

Submission ReceivedDecember 12, 2015
Peer Review Double Blind
Handling Editor
Accepted January 5, 2016
Published January 15, 2016

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v1.2

Issue date

December 17, 2016

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. S.S.Chorage, Sayali.S.Khot (PhD/Dr. count: 1)

View Count (all-time): 298

Total Views (Real + Logic): 6929

Total Downloads (simulated): 1808

Publish Date: 2016 12, Sat

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Total Views: 6929

Total Downloads: 1808

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