Journal ArticleDOI
Registration of stereo and temporal images of the retina
TLDR
By using a pyramid sampling approach combined with simulated reannealing the authors find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time.Abstract:
The registration of retinal images is required to facilitate the study of the optic nerve head and the retina. The method the authors propose combines the use of mutual information as the similarity measure and simulated annealing as the search technique. It is robust toward large transformations between the images and significant changes in light intensity. By using a pyramid sampling approach combined with simulated reannealing the authors find that registration can be achieved to predetermined precision, subject to choice of interpolation and the constraint of time. The algorithm was tested on 49 pairs of stereo images and 48 pairs of temporal images with success.read more
Citations
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Journal ArticleDOI
Image registration methods: a survey
Barbara Zitová,Jan Flusser +1 more
TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Journal ArticleDOI
Mutual-information-based registration of medical images: a survey
TL;DR: An overview is presented of the medical image processing literature on mutual-information-based registration, an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application.
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.
Journal ArticleDOI
The dual-bootstrap iterative closest point algorithm with application to retinal image registration
TL;DR: In registering retinal image pairs, Dual-Bootstrap ICP is initialized by automatically matching individual vascular landmarks, and it aligns images based on detected blood vessel centerlines, and the resulting quadratic transformations are accurate to less than a pixel.
Journal ArticleDOI
A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina
TL;DR: A robust hierarchical algorithm for fully-automatic registration of a pair of images of the curved human retina photographed by a fundus microscope, making the algorithm robust to unmatchable image features and mismatches between features caused by large interframe motions.
References
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