Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

Mean curvature and texture constrained composite weighted random walk algorithm for optic disc segmentation towards glaucoma screening

Accurate optic disc (OD) segmentation is an important step in obtaining cup-to-disc ratio-based glaucoma screening using fundus imaging. It is a challenging task because of the subtle OD boundary, blood vessel occlusion and intensity inhomogeneity. In this Letter, the authors propose an improved ver...

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Bibliographic Details
Main Authors: Rashmi Panda, N.B. Puhan, Ganapati Panda
Format: Article
Language:English
Published: Wiley 2018-02-01
Series:Healthcare Technology Letters
Subjects:
image texture
medical image processing
image segmentation
tumours
cancer
blood vessels
neurophysiology
biomedical optical imaging
mean curvature
texture constrained composite weighted random walk algorithm
optic disc segmentation
cup-disc ratio-based glaucoma screening
fundus imaging
OD boundary
blood vessel occlusion
random walk algorithm
Gabor texture energy features
composite weight function
edge weights
deformable model-based OD segmentation techniques
curve initialisation
local energy minima problem
DRIVE database images
DIARETDB1 database images
DRISHTI-GS database images
MESSIDOR database images
mean absolute distance
overlapping ratio
dice coefficient
quantitative performance
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0043

Internet

https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0043

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