By Topic

Key technique research of image retrieval based on combination feature

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yanping Yang ; Department of Computer Science and Technology, Hebei Normal University of Science and Technology, Qinghuangdao, China ; Lei Wang

In this paper, we introduce the generalization of feature-based image retrieval, the technology of semantic query and how to use CBIR on web. It research the different methods retrieval the image, including color-shape feature (CS) and color-texture-shape (CTS) feature. Through contrasting CS, CST we found CS and CST enhanced effectively and decreased the storage space and calculation. On the base of the color, texture and shape features, the technology of semantic query is proposed in this paper. The query not only reflect the low-layer physical property of image, but also joined with the high-layer semantic property of image. The retrieval performance is improved efficiently.

Published in:

Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on  (Volume:2 )

Date of Conference:

28-29 Nov. 2009