International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
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Volume-7,Issue-12  ( Dec, 2019 )
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Statistics report
Feb. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 84
Paper Published : 1397
No. of Authors : 3784
  Journal Paper

Paper Title
An Entropy-Based Identification and Wid Measurement System for Retinal Blood Vessels

Retinal Blood vessels are an important one to diagnosing the eye diseases. The identification of the retinal blood vessels from the fundus image is a great task to the researchers. At the same time, the severity of the diseases is varied in the width of the blood vessels. So the width measurements of the retinal blood vessels are used to categorize the diseases and its severity. This research paper proposes an entropy-based identification and width measurement of the retinal blood vessels system from the fundus image. This system will be analyzed with the performance of existing proposals in the parameters of Sensitivity, Specificity and Accuracy. Finally, the measured width values will be compared with manual measurement values and gain the low % of error in the width measurements. Index terms- Digital Fundus Images, Entropy based system, Retinal Blood Vessels.

Author - J. Vijayakumar, L. Jeganson Durai

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| Published on 2019-04-12
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