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

A Hybrid Segmentation Approach Based on Fuzzy Connectedness and Voronoi Diagram

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

4 Author(s)
Anrong Yang ; CIMS & Robot Center, Shanghai Univ., Shanghai, China ; Caixing Lin ; Hongqiang Li ; Zhihua Li

This paper presents a hybrid segmentation approach for medical images that requires minimal manual initialization by integrating the fuzzy connectedness and Voronoi diagram classification algorithms. We start with a fuzzy connectedness filter to generate a sample of tissue from a region to be segmented and obtain image statistics that constitute the homogeneity operator to be used in the next stage. The output of the fuzzy connectedness filter is used as a prior to the Voronoi diagram classification filter. This filter performs iterative subdivision and classification of the segmented image resulting in an estimation of the boundary. The output of this filter is a binary image that can be used to display the 2D or 3D result of the segmentation. Comparing with other medical images segmentation approaches, this hybrid approach integrates boundary-based and region-based segmentation methods that amplify the strength but reduce the weakness of both techniques. The collaboration between two different methodologies tends to result in robustness and higher segmentation quality. We have already realized this approach in our medical images application and got a satisfying result.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 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.