Publication:
Local image registration: an adaptive filtering framework

dc.contributor.coauthorCaner, Gülçin
dc.contributor.coauthorSharma, Gaurav
dc.contributor.coauthorHeinzelman, Wendi
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T12:29:24Z
dc.date.issued2005
dc.description.abstractWe present a novel local image registration method based on adaptive filtering techniques. The proposed method utilizes an adaptive filter to track smoothly, locally varying changes in the motion field between the images. Image pixels are traversed following a scanning order established by Hubert curves to preserve the contiguity in the 2-D image plane. We have performed experiments using both simulated images and real images captured by a digital camera. The proposed adaptive filtering framework has been shown by experimental results to give superior performance compared to global 2-D parametric registration and Lucas-Kanade optical flow technique when the image motion consists of mostly translational motion. The simulation experiments show that the proposed image registration technique can also handle small amounts of rotation, scale and perspectivity in the motion field.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipNational Science Foundation
dc.description.versionPublisher version
dc.identifier.doi10.1117/12.585062
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR01009
dc.identifier.issn0277-786X
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-21944442204
dc.identifier.urihttps://hdl.handle.net/20.500.14288/1855
dc.identifier.wos257186700021
dc.keywordsAdaptive filtering
dc.keywordsHilbert curves
dc.keywordsLocal image registration
dc.language.isoeng
dc.publisherSociety of Photo-optical Instrumentation Engineers (SPIE)
dc.relation.grantnoECS-0428157
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/1006
dc.subjectElectrical and electronic engineering
dc.titleLocal image registration: an adaptive filtering framework
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorTekalp, Ahmet Murat
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
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relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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