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  • Fourier based registration of differentially scaled images

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    87364_1.pdf (1.051Mb)
    Author(s)
    Gonzalez, Ruben
    Griffith University Author(s)
    Gonzalez, Ruben
    Year published
    2013
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    Abstract
    This paper presents a novel Fourier based approach for registration of images that have been translated, rotated, scaled and stretched. Fourier based techniques are computationally efficient and provide noise resilience but beyond similarity transformed images they do not extend readily to more general affine deformations. The proposed method relies on applying a Hough circle transform to a generated log-polar correlation surface in conjunction with various techniques for noise rejection. Applicable theory, methodology and preliminary results are presented.This paper presents a novel Fourier based approach for registration of images that have been translated, rotated, scaled and stretched. Fourier based techniques are computationally efficient and provide noise resilience but beyond similarity transformed images they do not extend readily to more general affine deformations. The proposed method relies on applying a Hough circle transform to a generated log-polar correlation surface in conjunction with various techniques for noise rejection. Applicable theory, methodology and preliminary results are presented.
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    Conference Title
    2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)
    DOI
    https://doi.org/10.1109/ICIP.2013.6738264
    Copyright Statement
    © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Computer vision
    Publication URI
    http://hdl.handle.net/10072/56879
    Collection
    • Conference outputs

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