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2016 | OriginalPaper | Chapter

Retinal Nerve Fiber Layer Analysis in Digital Fundus Images: Application to Early Glaucoma Diagnosis

Authors : Dharmanna Lamani, T. C. Manjunath, M. Mahesh, Y. S. Nijagunarya

Published in: Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing

Publisher: Springer India

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Abstract

Glaucoma is a second biggest eye disease which leads to permanent vision loss. The present day glaucoma diagnosis includes analysis of cup-to-disk ratio and detection of retinal nerve fiber layer (RNFL) loss. Glaucoma detection using cup-to-disk ratio approach is possible only after 40 % of vision loss. Also, OCT instruments are not widely available in all hospitals due to the cost factor, thereby making them a costly approach. In this paper, fundus images are considered for texture property analysis. Texture properties of RNFL region are analyzed using image-based fractal dimension (FD) feature and gray level co-occurrence matrix method (GLCM). Positive correlation coefficient is achieved for FD and contrast property of GLCM. Such analysis of texture property involving RNFL on fundus images lead to low cost and early diagnosis of glaucoma.

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Title: Retinal Nerve Fiber Layer Analysis in Digital Fundus Images: Application to Early Glaucoma Diagnosis
Authors: Dharmanna Lamani
T. C. Manjunath
M. Mahesh
Y. S. Nijagunarya
Publisher: Springer India
Book: Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing
Print ISBN: 978-81-322-2636-9

Electronic ISBN: 978-81-322-2638-3

Copyright Year: 2016
DOI: https://doi.org/10.1007/978-81-322-2638-3_8

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