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 and has better performance in similarity search than the planar curve descriptors.
Author and article information
NTT Information and Communication Systems Laboratories
Yokosuka, Kanagawa, Japan