Image retrieval in digital library based on symmetry detection

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings - Computer Graphics International
PublisherIEEE
Pages366-372
ISBN (Print)0-8 186-8445-3
Publication statusPublished - Jun 1998

Publication series

NameProceedings - Computer Graphics International, CGI 1998
Volume1998-January

Conference

Title1998 Computer Graphics International (CGI 1998)
PlaceGermany
CityHannover
Period22 - 26 June 1998

Abstract

In this paper, we present a technique of contentbased image retrieval based on the symmetric property of an image and its generalized complex moments. We propose a novel symmetry detection algorithm that is both fast and general compared with existing symmetry detection algorithms. Given the sensitivity of human perception to symmetry, the use of symmetry class helps to ensure that the retrieved images are visually similar. Experimental results show that these features are effective in retrieving binary images and our similarity function is able to rank them first place for nearly all the sample queries used in our experiment.

Research Area(s)

  • Complex moment, Content-based retrieval, Image database, Mirror symmetry

Citation Format(s)

Image retrieval in digital library based on symmetry detection. / Cheung, Kent K. T.; Ip, Horace H. S.

Proceedings - Computer Graphics International. IEEE, 1998. p. 366-372 (Proceedings - Computer Graphics International, CGI 1998; Vol. 1998-January).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review