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      A Rotation Invariant Shape Representation based on Wavelet Transform

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      Challenge of Image Retrieval (CIR)

      Image Retrieval

      5 February 1998

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          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].

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          Most cited references 3

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          An efficient three-dimensional aircraft recognition algorithm using normalized fourier descriptors

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            Wavelet descriptor of planar curves: theory and applications.

            By using the wavelet transform, the authors develop a hierarchical planar curve descriptor that decomposes a curve into components of different scales so that the coarsest scale components carry the global approximation information while the finer scale components contain the local detailed information. They show that the wavelet descriptor has many desirable properties such as multiresolution representation, invariance, uniqueness, stability, and spatial localization. A deformable wavelet descriptor is also proposed by interpreting the wavelet coefficients as random variables. The applications of the wavelet descriptor to character recognition and model-based contour extraction from low SNR images are examined. Numerical experiments are performed to illustrate the performance of the wavelet descriptor.
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              A translation-invariant wavelet representation algorithm with applications

               Jie Liang,  T.W. Parks (1996)
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                Author and article information

                Conference
                February 1998
                February 1998
                : 1-9
                Affiliations
                NTT Information and Communication Systems Laboratories

                Yokosuka, Kanagawa, Japan
                Article
                10.14236/ewic/CIR1998.9
                © Seiichi Kon’Ya et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval, University of Northumbria at Newcastle, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Challenge of Image Retrieval
                CIR
                University of Northumbria at Newcastle, UK
                5 February 1998
                Electronic Workshops in Computing (eWiC)
                Image Retrieval
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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