Cart (Loading....) | Create Account
Close category search window

Performance Comparison of Discrete Wavelet Transform and Dual Tree Discrete Wavelet Transform for Automatic Airborne Target Detection

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

3 Author(s)
Arivazhagan, S. ; Mepco Schlenk Eng. Coll., Sivakasi ; Jebarani, W.S.L. ; Kumaran, G.

Automatic airborne target detection is a challenging task in video surveillance applications. In our paper, an automatic target detection (ATD) algorithm using cooccurrence features, derived from sub-bands of discrete wavelet transform / dual tree discrete wavelet transformed sub blocks to identify the seed sub-block, and then to detect the target using region growing algorithm is presented. Also, the performance of discrete wavelet transform and dual tree discrete wavelet transform for automatic airborne target detection has been compared and presented.

Published in:

Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on  (Volume:3 )

Date of Conference:

13-15 Dec. 2007

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.