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

Medical Image Fusion Based on Wavelet Packet Transform and Self-Adaptive Operator

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)
Yang Licai ; Sch. of Control Sci. & Eng., Shandong Univ., Jinan ; Liu Xin ; Yao Yucui

Combining wavelet packet transform with self- adaptive operator together, a medical image fusion algorithm is put forward. In this algorithm, the medical imagines that have been matched are firstly decomposed using wavelet packet transform, and the wavelet coefficients as well as the sub-images decomposed are processed with self-adaptive operators. Then the fusion imagines are gained by the wavelet packet reconstruction for the decomposed imagines. The simulation results show that this algorithm is feasible and effective for the clinical applications of medical fusion imagines.

Published in:

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Date of Conference:

16-18 May 2008

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.