ICIDRET 2016

International Conference on Inter Disciplinary Research in Engineering and Technology 2016

 


ICIDRET 2016 Kokula Krishna Hari K
Publication Meta Value
Short Title ICIDRET 2016
Publisher ASDF, India
ISBN 13 978-81-929866-0-9
ISBN 10 81-929866-0-8
Language English
Type Hard Bound - Printed Book
Copyrights ICIDRET Organizers / DCRC, London, UK
Editor-in-Chief Kokula Krishna Hari K
Conference Dates 12 - 13, February 2016
Venue Country DSIIDC, New Delhi, India
Submitted Papers 375
Acceptance Rate 6.00%
Website www.icidret.in

Paper 008


Diabetic Retinopathy Image Enhancement using Vessel Extraction in Retinal Fundus Images by programming in Raspberry Pi Controller Board

Diabetic Retinopathy Image Enhancement using Vessel Extraction in Retinal Fundus Images by programming in Raspberry Pi Controller Board

Ranaditya Haldar1, Srinivasan Aruchamy2, Anjali Chatterjee3, Partha Bhattacharjee4

1, 2, 3, 4Cybernetics Department, CSIR-Central Mechanical Engineering Research Institute,Durgapur

Abstract

Diabetic retinopathy is one of the leading complication of diabetes and also one of the leading preventable blindness. Early diagnosis and treatment may prevent such condition or in other words, annoyance of the disease may be overcome. The fundus images produced by automated fundus camera are often noisy making it difficult for doctors to precisely detect the abnormalities in fundus images. In the present paper, we propose to use vessel extraction of Retinal image enhancement and implemented in Raspberry Pi board using opencv library for faster execution and cost effective processing unit which helps during mass screening of diabetic retinopathy. The effectiveness of the proposed techniques is evaluated using different metrics and Micro-aneurysms. Finally, a considerable improvement in the enhancement of the Diabetic Retinopathy images is achieved.

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Ranaditya Haldar : Profile

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Cite this Article as Follows

Ranaditya Haldar, Srinivasan Aruchamy, Anjali Chatterjee, Partha Bhattacharjee."Diabetic Retinopathy Image Enhancement using Vessel Extraction in Retinal Fundus Images by programming in Raspberry Pi Controller Board." International Conference on Inter Disciplinary Research in Engineering and Technology (2016): 37-42. Print.