By Topic

Background removal in image indexing and retrieval

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)
Yi Lu ; Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA ; Hong Guo

This paper presents our research in image content-based indexing and retrieval, a key technology in digital image libraries. In most of the existing image content-based techniques, image features used for indexing and retrieval are global, features computed over the entire image. The major problem with the global image feature-based retrieval methods is that background features can be easily mistaken as object features. When a user attempts to retrieve images using color features, he/she usually means the color feature of objects of interests contained in the image. The approach we describe in this paper utilizes color clusters for image background analysis. Once the background regions are identified, they are removed from the image indexing procedure, and therefore no longer interfere with the meaningful image content during the retrieval process

Published in:

Image Analysis and Processing, 1999. Proceedings. International Conference on

Date of Conference: