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    A Rotation Invariant Shape Representation Based on Wavelet Transform

    Challenge of Image Retrieval

    University of Northumbria at Newcastle, UK. 5th February 1998

    AUTHORS

    S. Kon'ya & K. Kushima

    ABSTRACT

    This paper introduces an object shape representation which provides similarity search for databases with a large number of images.

    The proposed algorithm uses the following techniques: 1) the complex-valued wavelet transform to utilize the phase information, 2) the translation-invariant wavelet representation to normalize the shape orientation.

    Experimental results show that the proposed algorithm be able to normalize shape orientation more accurately than the normalized Fourier descriptors[1] and has better performance in similarity search than the planar curve descriptors[2].

    PAPER FORMATS

    PDF filePDF Version of this Paper (82kb)