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dc.contributor.authorAmankwah, Anthony
dc.contributor.authorAldrich, Chris
dc.contributor.editorIEEE
dc.date.accessioned2017-01-30T11:10:51Z
dc.date.available2017-01-30T11:10:51Z
dc.date.created2013-03-03T20:00:23Z
dc.date.issued2012
dc.identifier.citationAmankwah, Anthony and Aldrich, Chris. 2012. Multiresolution Image Registration Using Spatial Mutual Information, in Proceedings of Oceans, Oct 14-19 2012. Virginia Beach, VA, USA: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/9145
dc.identifier.doi10.1109/OCEANS.2012.6404780
dc.description.abstract

The maximization of mutual information has been very successful at the registration of images. Unfortunately, mutual information takes only into account the relationship between individual pixels and not those of each pixel's neighborhood. Mutual information ignores spatial information. In this paper, we propose a new similarity metric called enhanced mutual information (EMI), which combines mutual information with a weighting function based on the absolute difference of corresponding pixel values. In order to reduce computational cost we also use multiresolution wavelet decomposition as a search data strategy. Experimental results show that the enhanced mutual information is not only more robust to noise than mutual information but more reliable in the registration of multitemporal images.

dc.publisherIEEE
dc.subjectimage registration
dc.subjectMutual Information
dc.subjectEnhanced Mutual Information
dc.subjectWavelets
dc.titleMultiresolution Image Registration Using Spatial Mutual Information
dc.typeConference Paper
dcterms.source.titleOceans 2012
dcterms.source.seriesOceans 2012
dcterms.source.isbn978-1-4673-0829-8
dcterms.source.conferenceHarnessing the Power of the Oceans
dcterms.source.conference-start-dateOct 14 2012
dcterms.source.conferencelocationVirginia Beach Convention Centre, VA, USA
dcterms.source.placePiscataway, NJ
curtin.department
curtin.accessStatusFulltext not available


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