Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach

Xinge You*, Bin Fang, Yuan Yan Tang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

1 Citation (Scopus)

Abstract

Mosaicing fundus retinal images is fundamental to reveal helpful information of the eyes in order to track the progress of possible diseases. We propose the use of a simple rigid model to globally match vascular trees via a multi-resolution scheme. An elastic matching algorithm is employed to achieve accurate local alignment. We build mosaic maps by merging gray intensities of pixels from different fundus images at the same transformed locations with arithmetic average operation. Experiment results show that successful matching can be achieved with improved accuracy and the mosaic maps seem perfect in terms of visual inspection.

Original languageEnglish
Title of host publicationAdvances in Natural Computation
Subtitle of host publicationFirst International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III
EditorsLipo Wang, Ke Chen, Yew Soon Ong
Place of PublicationBerlin
PublisherSpringer
Pages663-667
Number of pages5
Edition1st
ISBN (Electronic)9783540318637
ISBN (Print)9783540283201
DOIs
Publication statusPublished - 17 Aug 2005
Event1st International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005
https://link.springer.com/book/10.1007/11539902 (Conference Proceedings)

Publication series

NameLecture Notes in Computer Science
Volume3612
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameTheoretical Computer Science and General Issues
NameICNC: International Conference on Natural Computation

Conference

Conference1st International Conference on Natural Computation, ICNC 2005
Country/TerritoryChina
CityChangsha
Period27/08/0529/08/05
Internet address

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