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    Computation of the normalized cross-correlation by fast Fourier transform

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    Author
    Kaso, A.
    Date
    2018
    Journal
    PLoS ONE
    Publisher
    Public Library of Science
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://dx.doi.org/10.1371/journal.pone.0203434
    Abstract
    The normalized cross-correlation (NCC), usually its 2D version, is routinely encountered in template matching algorithms, such as in facial recognition, motion-tracking, registration in medical imaging, etc. Its rapid computation becomes critical in time sensitive applications. Here I develop a scheme for the computation of NCC by fast Fourier transform that can favorably compare for speed efficiency with other existing techniques and may outperform some of them given an appropriate search scenario. © 2018 Artan Kaso. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
    Keyword
    fast Fourier transform
    normalized cross-correlation
    Fourier Analysis
    Magnetic Resonance Imaging
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053618880&doi=10.1371%2fjournal.pone.0203434&partnerID=40&md5=7e4585ad789b0a5d6ca280340f73669b; http://hdl.handle.net/10713/8749
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pone.0203434
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