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    Forward-looking sonar image registration using polar transform

    Access Status
    Fulltext not available
    Authors
    Zhang, J.
    Sohel, F.
    Bian, H.
    Bennamoun, M.
    An, Senjian
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Zhang, J. and Sohel, F. and Bian, H. and Bennamoun, M. and An, S. 2016. Forward-looking sonar image registration using polar transform.
    Source Title
    OCEANS 2016 MTS/IEEE Monterey, OCE 2016
    DOI
    10.1109/OCEANS.2016.7761052
    ISBN
    9781509015375
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/70240
    Collection
    • Curtin Research Publications
    Abstract

    � 2016 IEEE. This paper presents a novel approach for forward-looking sonar (FLS) image registration. By simplifying the sonar imaging motion model, we show that the transformation between two consecutive and near-consecutive sonar images approximately follows a rigid transformation. Then we propose a polar transform based approach for FLS image registration. We extract Gabor feature points and use them as the centers of the sampling regions for the polar transform. To reduce the influence of oversampling at the fovea, a Weighted Angular Projection Function (WAPF) is used to calculate the distance between two points in two images. This will determine the corresponding point pairs between the reference and target images. Then, the rotation between the two images can be calculated from the translation between the WAPFs of the corresponding point pairs. The translation between the two images is then calculated by using the Cartesian coordinates of the centers. Experimental results show that our proposed approach produced superior results compared with the state-of-the-art.

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