Content-based image retrieval using salient boundary and centroid-radii model

Qing Wang, Haijian Ye, Yan Wang, Hua Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In view of the instability and low efficiency of the present image retrieval method, especially for simple image comparison with some salient shapes, a new image retrieval algorithm based on salient closed boundary is presented. Firstly, the Canny operator is performed to detect edges. Secondly, the ratio contour is used to extract the most salient closed boundary of some shape from the image. Finally, the similarities are measured by feature vector of the salient closed boundary based on the centroid-radii model. Preliminary experimental results demonstrate that the proposed method is quite suitable for many professional image retrieval systems and has a good performance in both retrieval efficiency and effectiveness.

Original languageEnglish
Title of host publicationComputer and Computing Technologies In Agriculture II, Volume 2
Subtitle of host publicationThe Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing
PublisherSpringer Science and Business Media, LLC
Pages853-860
Number of pages8
ISBN (Print)9781441902108
DOIs
StatePublished - 2009
Externally publishedYes

Publication series

NameIFIP International Federation for Information Processing
Volume294
ISSN (Print)1571-5736

Keywords

  • centroidradii model
  • content based image retrieval
  • radio contour
  • salient closed boundary

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