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dc.contributor.authorGonzalez, Ruben
dc.contributor.authorLincoln, Luke
dc.contributor.editorWysocki, TA
dc.contributor.editorWysocki, BJ
dc.date.accessioned2018-05-30T01:27:46Z
dc.date.available2018-05-30T01:27:46Z
dc.date.issued2017
dc.identifier.doi10.1109/ICSPCS.2017.8270457
dc.identifier.urihttp://hdl.handle.net/10072/376143
dc.description.abstractPhase Correlation is many times faster than feature correspondence based image registration methods, but is still relatively computationally complex. To register images using phase correlation related by similarity transforms a translation invariant log-polar remapping of the images is required. This operation requires the computation of an additional two 2D FFTs plus two log-polar transforms. This paper proposes an alternative approach that eliminates the need to compute the log-polar transforms that reduces the number of FFTs required to register images and reduces overall computation time.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencename11th International Conference on Signal Processing and Communication Systems (ICSPCS)
dc.relation.ispartofconferencetitle2017 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS)
dc.relation.ispartofdatefrom2017-12-13
dc.relation.ispartofdateto2017-12-15
dc.relation.ispartoflocationAUSTRALIA
dc.relation.ispartofpagefrom4 pages
dc.relation.ispartofpageto4 pages
dc.subject.fieldofresearchImage processing
dc.subject.fieldofresearchcode460306
dc.titleFast gradient distance based image registration
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorGonzalez, Ruben
gro.griffith.authorLincoln, Luke


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    Contains papers delivered by Griffith authors at national and international conferences.

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