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Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach
Xinge You2,3; Bin Fang1,3; Yuan Yan Tang2,3
2005-10-24
Conference Name1st International Conference on Natural Computation (ICNC 2005)
Source PublicationLecture Notes in Computer Science
Volume3612
IssuePART III
Pages663-667
Conference DateAUG 27-29, 2005
Conference PlaceChangsha, PEOPLES R CHINA
PublisherSPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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. 

DOIhttps://doi.org/10.1007/11539902_81
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000232246700081
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Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Center for Intelligent Computation of Information , Chongqing University, China
2.Faculty of Mathematics and Computer Science, Hubei University, 430062, China
3.Department of Computer Science, Hong Kong Baptist University
Recommended Citation
GB/T 7714
Xinge You,Bin Fang,Yuan Yan Tang. Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY,2005:663-667.
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