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2019 | OriginalPaper | Chapter

Image Inpainting for Hemorrhage Detection in Mass Screening of Diabetic Retinopathy

Authors : Anupama Awati, H. Chinmayee Rao, M. R. Patil

Published in: Computing, Communication and Signal Processing

Publisher: Springer Singapore

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Abstract

Diabetic retinopathy (DR) is one of the main causes of vision loss. The severity of DR can be analyzed using human retinal images (fundus image). Affected fundus image consists of hemorrhages, microaneurysms, and exudates along with blood vessels. In order to accurately detect the level of severity of the disease, the blood vessels are inpainted using fast marching method (FMM). The technique implemented in this paper involves image enhancement using green channel image and histogram equalization followed by mask generation and inpainting. The severity of the disease can be categorized accurately by inpainting the blood vessels using FMM. The proposed technique is tested using standard test databases HRF and DRIVE. The algorithm can be effectively used for mass screening of DR. This technique is a fundamental step in designing computer-aided diagnosis system for ophthalmic disorders.

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Metadata
Title
Image Inpainting for Hemorrhage Detection in Mass Screening of Diabetic Retinopathy
Authors
Anupama Awati
H. Chinmayee Rao
M. R. Patil
Copyright Year
2019
Publisher
Springer Singapore
Book
Computing, Communication and Signal Processing

Print ISBN: 978-981-13-1512-1

Electronic ISBN: 978-981-13-1513-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-1513-8_102