Journal ArticleDOI
Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis.
TLDR
This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels, and applies a simple retrospective screening paradigm based solely on vessel width and tortuosity.About:
This article is published in Medical Image Analysis.The article was published on 2002-12-01. It has received 346 citations till now. The article focuses on the topics: Tortuosity.read more
Citations
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Journal ArticleDOI
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
TL;DR: A neural network scheme for pixel classification and computes a 7-D vector composed of gray-level and moment invariants-based features for pixel representation that is suitable for retinal image computer analyses such as automated screening for early diabetic retinopathy detection.
Journal ArticleDOI
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
TL;DR: An automated method for the segmentation of the vascular network in retinal images that outperforms other solutions and approximates the average accuracy of a human observer without a significant degradation of sensitivity and specificity is presented.
Journal ArticleDOI
Blood vessel segmentation methodologies in retinal images - A survey
Muhammad Moazam Fraz,Paolo Remagnino,Andreas Hoppe,Bunyarit Uyyanonvara,Alicja R. Rudnicka,Christopher G. Owen,Sarah Barman +6 more
TL;DR: The aim of this paper is to review, analyze and categorize the retinal vessel extraction algorithms, techniques and methodologies, giving a brief description, highlighting the key points and the performance measures.
Journal ArticleDOI
Trainable COSFIRE filters for vessel delineation with application to retinal images
TL;DR: A novel method for the automatic segmentation of vessel trees in retinal fundus images by summing up the responses of the two rotation-invariant B-COSFIRE filters followed by thresholding is introduced.
Journal ArticleDOI
Retinal image analysis: Concepts, applications and potential
Niall Patton,Tariq Aslam,Tom MacGillivray,Ian J. Deary,B. Dhillon,Robert H. Eikelboom,Robert H. Eikelboom,Kanagasingam Yogesan,Ian J. Constable +8 more
TL;DR: The use of image analysis in the automated diagnosis of pathology (with particular reference to diabetic retinopathy) is reviewed, as well as its role in defining and performing quantitative measurements of vascular topography, and how these entities are based on 'optimisation' principles.
References
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Book
Image Analysis and Mathematical Morphology
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Book
Image Processing: Analysis and Machine Vision
TL;DR: The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis.
Book
Morphological Image Analysis: Principles and Applications
TL;DR: This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
Journal ArticleDOI
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
TL;DR: An algorithm that is based on the notion of regional maxima and makes use of breadth-first image scannings implemented using a queue of pixels results in a hybrid gray-scale reconstruction algorithm which is an order of magnitude faster than any previously known algorithm.
Journal ArticleDOI
Detection of blood vessels in retinal images using two-dimensional matched filters
TL;DR: The concept of matched filter detection of signals is used to detect piecewise linear segments of blood vessels in these images and the results are compared to those obtained with other methods.