By Topic

Overview of image segmentation techniques and searching for future directions of research in content-based image 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
$31 $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

1 Author(s)
Deb, S. ; Sch. of Inf. Technol., Charles Sturt Univ., Bathurst, NSW

Research in content-based image retrieval has proved extremely difficult because of the inherent problems in proper automated analysis and feature extraction of the image to facilitate efficient retrieval. An image may contain more than one object and to segment the image in line with object features to extract meaningful objects has become a challenge to the researchers in the field. Until we win over this challenge, the efficient retrieval of images from the database based on a given input image will be difficult to achieve. In this paper we take stock of the current situation and suggest some future directions in the resolution of this problem.

Published in:

Ubi-Media Computing, 2008 First IEEE International Conference on

Date of Conference:

July 31 2008-Aug. 1 2008