Forward-looking sonar image registration using polar transform

Jian Zhang, Ferdous Sohel, Hongyu Bian, Mohammed Bennamoun, Senjian An

    Research output: Chapter in Book/Conference paperConference paper

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationOCEANS 2016 MTS/IEEE Monterey, OCE 2016
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    ISBN (Electronic)9781509015375
    ISBN (Print)9781509015375
    DOIs
    Publication statusPublished - 28 Nov 2016
    Event2016 OCEANS MTS/IEEE Monterey, OCE 2016 - Monterey, United States
    Duration: 19 Sep 201623 Sep 2016

    Conference

    Conference2016 OCEANS MTS/IEEE Monterey, OCE 2016
    CountryUnited States
    CityMonterey
    Period19/09/1623/09/16

    Fingerprint

    sonar
    Image registration
    Sonar
    transform
    fovea
    Sampling
    Cartesian coordinates
    Imaging techniques
    image registration
    sampling
    projection

    Cite this

    Zhang, J., Sohel, F., Bian, H., Bennamoun, M., & An, S. (2016). Forward-looking sonar image registration using polar transform. In OCEANS 2016 MTS/IEEE Monterey, OCE 2016 [7761052] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/OCEANS.2016.7761052
    Zhang, Jian ; Sohel, Ferdous ; Bian, Hongyu ; Bennamoun, Mohammed ; An, Senjian. / Forward-looking sonar image registration using polar transform. OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers, 2016.
    @inproceedings{20dc3a818d2f4c92bf34996ff796fcfa,
    title = "Forward-looking sonar image registration using polar transform",
    abstract = "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.",
    keywords = "Forward-looking sonar image registration, Polar transform, Sonar image analysis, Sonar image processing",
    author = "Jian Zhang and Ferdous Sohel and Hongyu Bian and Mohammed Bennamoun and Senjian An",
    year = "2016",
    month = "11",
    day = "28",
    doi = "10.1109/OCEANS.2016.7761052",
    language = "English",
    isbn = "9781509015375",
    booktitle = "OCEANS 2016 MTS/IEEE Monterey, OCE 2016",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States",

    }

    Zhang, J, Sohel, F, Bian, H, Bennamoun, M & An, S 2016, Forward-looking sonar image registration using polar transform. in OCEANS 2016 MTS/IEEE Monterey, OCE 2016., 7761052, IEEE, Institute of Electrical and Electronics Engineers, 2016 OCEANS MTS/IEEE Monterey, OCE 2016, Monterey, United States, 19/09/16. https://doi.org/10.1109/OCEANS.2016.7761052

    Forward-looking sonar image registration using polar transform. / Zhang, Jian; Sohel, Ferdous; Bian, Hongyu; Bennamoun, Mohammed; An, Senjian.

    OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers, 2016. 7761052.

    Research output: Chapter in Book/Conference paperConference paper

    TY - GEN

    T1 - Forward-looking sonar image registration using polar transform

    AU - Zhang, Jian

    AU - Sohel, Ferdous

    AU - Bian, Hongyu

    AU - Bennamoun, Mohammed

    AU - An, Senjian

    PY - 2016/11/28

    Y1 - 2016/11/28

    N2 - 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.

    AB - 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.

    KW - Forward-looking sonar image registration

    KW - Polar transform

    KW - Sonar image analysis

    KW - Sonar image processing

    UR - http://www.scopus.com/inward/record.url?scp=85006961167&partnerID=8YFLogxK

    U2 - 10.1109/OCEANS.2016.7761052

    DO - 10.1109/OCEANS.2016.7761052

    M3 - Conference paper

    SN - 9781509015375

    BT - OCEANS 2016 MTS/IEEE Monterey, OCE 2016

    PB - IEEE, Institute of Electrical and Electronics Engineers

    ER -

    Zhang J, Sohel F, Bian H, Bennamoun M, An S. Forward-looking sonar image registration using polar transform. In OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers. 2016. 7761052 https://doi.org/10.1109/OCEANS.2016.7761052