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      Robustness of Shape Similarity Retrieval under Affine Transformation

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      Challenge of Image Retrieval (CIR)

      Image Retrieval

      25th - 26th February 1999

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            Abstract

            The application of Curvature Scale Space representation in shape similarity retrieval under affine transformation is addressed in this paper. The maxima of Curvature Scale Space (CSS) image have already been used to represent 2-D shapes in different applications. The representation has shown robustness under the similarity transformations. Scaling, orientation changes, translation and even noise can be easily handled by the representation and its associated matching algorithm. In this paper, we also consider shear and examine the performance of the representation under affine transformations. It is observed that the performance of the method is promising even under severe deformations caused by shear. The method is tested on a very large database of shapes and also evaluated objectively through a classified database. The performance of the method is compared with the performance of two well-known methods, namely Fourier descriptors and moment invariants. We also observe that global parameters such as eccentricity and circularity are no longer useful in an affine transform environment.

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            Author and article information

            Contributors
            Conference
            February 1999
            February 1999
            : 1-10
            Affiliations
            [0001]Centre for Vision, Speech and Signal Processing, University of Surrey

            Guildford, Surrey, GU2 5XH, England

            Tel: +44-1483-879842

            Fax: +44-1483-876031
            Article
            10.14236/ewic/CIR1999.1
            c9bc6d11-7359-4431-a24c-55dc5902119f
            © Sadegh Abbasi et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval

            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
            Newcastle upon Tyne, UK
            25th - 26th February 1999
            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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