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    Texture feature extraction method for scale and rotation invariant image retrieval

    Access Status
    Fulltext not available
    Authors
    Rahman, M.
    Pickering, M.
    Frater, M.
    Kerr, Deborah
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Rahman, M. and Pickering, M. and Frater, M. and Kerr, D. 2012. Texture feature extraction method for scale and rotation invariant image retrieval. Electronics Letters. 48 (11): pp. 626-627.
    Source Title
    Electronics Letters
    DOI
    10.1049/el.2012.0507
    ISSN
    0013-5194
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/21580
    Collection
    • Curtin Research Publications
    Abstract

    In content-based image retrieval systems, the texture in the query image may appear at a different scale and rotation angle to the relevant images in the database. To overcome this limitation, proposed is a new method to extract features that are invariant to the scale and rotation of the texture in the image. The proposed method uses circular shifting in both the scale and the rotation dimensions in conjunction with a Gaussian window to reduce the effect of very high and very low frequencies in the feature matching process. © 2012 The Institution of Engineering and Technology.

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