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TEXTURAL MUTUAL INFORMATION BASED ON CLUSTER TREES FOR MULTIMODAL DEFORMABLE REGISTRATION

Abstract:

Mutual information (MI) has been widely used in image analysis tasks such as feature selection and image registration. In particular, it is the most widely used similarity measure for intensity based registration of multimodal images. However, a major drawback of MI is that it does not take the spatial neighbourhood into account. An effective way of incorporating spatial information could be of great benefit in a number of challenging applications. We propose the use of cluster trees to effic...

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Publication status:
Published

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Publisher copy:
10.1109/ISBI.2012.6235849

Authors


Heinrich, MP More by this author
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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Pages:
1471-1474
Publication date:
2012
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
URN:
uuid:4eee3001-2b49-4e21-b866-c47341dfd194
Source identifiers:
349028
Local pid:
pubs:349028
ISBN:
9781457718588

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