Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction

Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction

Abstract Retinal blood vessel segmentation and analysis is critical for the computer‐aided diagnosis of different diseases such as diabetic retinopathy. This study presents an automated unsupervised method for segmenting the retinal vasculature based on hybrid methods. The algorithm initially applie...

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Bibliographic Details
Main Authors: Meysam Tavakoli, Alireza Mehdizadeh, Reza Pourreza Shahri, Jamshid Dehmeshki
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:IET Image Processing
Subjects:
Physiological optics, vision
Haemodynamics, pneumodynamics
Optical and laser radiation (medical uses)
Patient diagnostic methods and instrumentation
Integral transforms
Optical, image and video signal processing
Online Access:https://doi.org/10.1049/ipr2.12119

Internet

https://doi.org/10.1049/ipr2.12119

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