Text size
  • Small
  • Medium
  • Large
  • Standard
  • Blue text on blue
  • High contrast (Yellow text on black)
  • Blue text on beige

    A Rotation Invariant Shape Representation Based on Wavelet Transform

    Challenge of Image Retrieval

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


    S. Kon'ya & K. Kushima


    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].


    PDF filePDF Version of this Paper (82kb)