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    Multiresolution Image Registration Using Spatial Mutual Information

    Access Status
    Fulltext not available
    Authors
    Amankwah, Anthony
    Aldrich, Chris
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Amankwah, 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.
    Source Title
    Oceans 2012
    Source Conference
    Harnessing the Power of the Oceans
    DOI
    10.1109/OCEANS.2012.6404780
    ISBN
    978-1-4673-0829-8
    URI
    http://hdl.handle.net/20.500.11937/9145
    Collection
    • Curtin Research Publications
    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.

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