Robustness of Shape Similarity Retrieval under Affine Transformation

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.

Contributors

Sadegh Abbasi

Conference

Publication date: February 1999

Publication date (Print): February 1999

Pages: 1-10

Affiliations

Centre for Vision, Speech and Signal Processing, University of Surrey

Guildford, Surrey, GU2 5XH, England

Tel: [phone]

Fax: [phone]

Article

DOI: 10.14236/ewic/CIR1999.1

Copyright statement: © Sadegh Abbasi et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval

License:

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/

Conference name: Challenge of Image Retrieval

Conference acronym: CIR

Conference number:

Conference location: Newcastle upon Tyne, UK

Conference date: 25th - 26th February 1999

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Image Retrieval

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/CIR1999.1

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing