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

Study on Medical Image Processing Algorithm Based on Contourlet Transform and Correlation Theory

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

2 Author(s)
Jun Wang ; Coll. of Mech. & Electron. Eng., China Jiliang Univ., Hangzhou, China ; Yan Kang

In recent years, processed medical image becomes more and more important to diagnosis. Anamorphic image may result in wrong judgment on state of an illness, even leads to fateful danger. Meanwhile, more efficient data transportation and storage are required with the development of high-resolution photography. Therefore, thousands of researchers work on the field of medical image processing. In this paper, contourlet transform, which may provide with tight bracing and multi-scale analysis, is introduced. And a new medical image processing algorithm based on contourlet transform and correlation theory is presented. This algorithm possesses some excellent performances such as multi-scale analysis, time-frequency-localization and multi-directions. Especially, this algorithm has excellent performance when describing anisotropic 2-D data. So high-quality medical image can be reconstructed even though a relative few coefficients are employed.To verify the algorithm, some medical images were processed. The experimental results show that this algorithm has better performance in compression and denoising than that of wavelet transform.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:6 )

Date of Conference:

March 31 2009-April 2 2009

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.