Colour retinal fundus image registration by selecting stable extremum points in the scale‐invariant feature transform detector
Author:
Affiliation:
1. Department of Computer Engineering, Science and Research BranchIslamic Azad UniversityTehranIran
2. Department of Computer EngineeringKharazmi UniversityTehranIran
3. Department of Remote SensingK. N. Toosi University of TechnologyTehranIran
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2014.0907
Reference34 articles.
1. Image registration methods: a survey
2. A robust graph transformation matching for non‐rigid registration;Aguilar W.;J. Image Vis. Comput.,2008
3. Predictive scheduling algorithms for real‐time feature extraction and spatial referencing: application to retinal image sequences;Gang L.;IEEE Trans. Biomed. Eng.,2004
4. The dual-bootstrap iterative closest point algorithm with application to retinal image registration
5. Retinal vessel segmentation by improved matched filtering: evaluation on a new high‐resolution fundus image database
Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Medical image registration and its application in retinal images: a review;Visual Computing for Industry, Biomedicine, and Art;2024-08-21
2. A new hybrid strategy in medical image registration based on graph transformation matching and mean-based RANSAC algorithms;Multimedia Tools and Applications;2024-03-12
3. Fundus Image Registration Technique Based on Local Feature of Retinal Vessels;Applied Sciences;2021-11-25
4. Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy;2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2021-11-01
5. Natural Image Mosaicing based on Redundant Keypoint Elimination Method in SIFT algorithm and Adaptive RANSAC method;Signal and Data Processing;2021-10-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3