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      A Rotation Invariant Shape Representation based on Wavelet Transform

      proceedings-article

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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].

            Content

            Author and article information

            Conference
            February 1998
            February 1998
            : 1-9
            Affiliations
            [0001]NTT Information and Communication Systems Laboratories

            Yokosuka, Kanagawa, Japan
            Article
            10.14236/ewic/CIR1998.9
            329f13aa-00ff-495e-8bae-373cdfc0734f
            © 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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