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

A cluster merging filter for noise smoothing

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)
Liu, B.J. ; Sch. of Med., California Univ., Los Angeles, CA, USA ; Keh-Shih Chuang

Due to the statistical nature of X-rays and the electromagnetic field, medical images produced by these energy sources are contaminated with random noise, which degrades the image quality. Because of this effect, considerable effort has been devoted to removing noise from medical images. The authors present a new method of image noise smoothing. This method uses the natural separation of distinct populations in each window to evaluate a given pixel. In this way, more pixels that belong to the population are included in the cluster of the given pixel, and fewer pixels that do not belong to the population are erroneously included. The image smoothing is further enhanced by the join-count statistic. By implementing join-count statistics, clusters that were erroneously separated by a large variation of random noise were evaluated and merged. This operation provides better results, enhancing noise smoothing, especially in the areas with largely uniform pixels. As a result, the smoothing performance is enhanced while the preservation of edges is maintained.<>

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:13 ,  Issue: 2 )

Date of Publication:

April-May 1994

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.