2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) 2016
DOI: 10.1109/cisp-bmei.2016.7852939
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Retinal image automatic registration based on local bifurcation structure

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Cited by 2 publications
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“…Representative methods proposed by scholars include the automatic splicing method based on vessel branching and crossover features [8,9]. An algorithm is proposed that utilizes features such as retinal branches and intersections and then performs automatic mosaic and target tracking [10]. Most of these traditional methods adopt the method based on feature correspondence.…”
Section: Introductionmentioning
confidence: 99%
“…Representative methods proposed by scholars include the automatic splicing method based on vessel branching and crossover features [8,9]. An algorithm is proposed that utilizes features such as retinal branches and intersections and then performs automatic mosaic and target tracking [10]. Most of these traditional methods adopt the method based on feature correspondence.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, tiny blood vessels on SLO images are depicted more clearly than those on RGB images and the vascular structures on both images might have a quite large differences. Thus feature-based methods which use vascular bifurcation points [22,23] and vessel edge map [24] are not ideally applicable In this paper, we propose a new framework for multi-modal retina image registration (specifically of color and SLO images), which addresses the issues of aligning images of different modalities. The methodology consists of two main steps: 1) descriptor matching and 2) deformable image registration.…”
Section: Introductionmentioning
confidence: 99%