.png){kind=icon}
返回
A Straightforward Bifurcation Pattern-Based Fundus Image Registration Method
.png){kind=icon}
OA
AI
DOI：10.3390/s23187809.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Fundus image registration is crucial in eye disease examination, as it enables the alignment of overlapping fundus images, facilitating a comprehensive assessment of conditions like diabetic retinopathy, where a single image's limited field of view might be insufficient. By combining multiple images, the field of view for retinal analysis is extended, and resolution is enhanced through super-resolution imaging. Moreover, this method facilitates patient follow-up through longitudinal studies. This paper proposes a straightforward method for fundus image registration based on bifurcations, which serve as prominent landmarks. The approach aims to establish a baseline for fundus image registration using these landmarks as feature points, addressing the current challenge of validation in this field. The proposed approach involves the use of a robust vascular tree segmentation method to detect feature points within a specified range. The method involves coarse vessel segmentation to analyze patterns in the skeleton of the segmentation foreground, followed by feature description based on the generation of a histogram of oriented gradients and determination of image relation through a transformation matrix. Image blending produces a seamless registered image. Evaluation on the FIRE dataset using registration error as the key parameter for accuracy demonstrates the method's effectiveness. The results show the superior performance of the proposed method compared to other techniques using vessel-based feature extraction or partially based on SURF, achieving an area under the curve of 0.526 for the entire FIRE dataset.
Keyword:
image registration
fundus image
retinal analysis
blood vessel bifurcation
registration error
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
The variability of wood density and compression strength of Norway spruce (Picea abies/L./Karst.) within the stem挪威云杉（Picea abies/L./Karst.）树干内木材密度和压缩强度的变异性.png)
Beskydy
OAAI
BeskydyIF0
OAAI分享收藏Characterization of gene family that mediates the adhesion of biofilms formed by Candida tropicalis isolated from HIV and non-HIV patients鉴定来自HIV和非HIV患者中分离的**Candida tropicalis**所形成生物膜粘附介导基因家族的特征OAAI
OAAI分享收藏Trans-palpebral illumination: an approach for wide-angle fundus photography without the need for pupil dilationOPTICS LETTERSOAAI
OPTICS LETTERSIF3.3
OAAI分享收藏REMPE: Registration of Retinal Images Through Eye Modelling and Pose EstimationReppe: 通过眼睛建模和姿态估计对视网膜图像进行配准
PREAI
分享收藏Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep LearningSENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Nanocrystalline silicon films as multifunctional material for optoelectronic and photovoltaic applications纳米硅薄膜作为光电和光伏应用的多功能材料
PREAI
分享收藏
查看更多内容